Code covered by the BSD License
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distributions31(varargin)
distributions31 M-file for distributions31.fig
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linnik_rnd.m - generates 'nsamples' of a Linnik random variable.
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disades_rnd.m - generates 'nsamples' of a Discrete Ades random variable.
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mitlef_rnd.m - generates 'nsamples' of a Mittag Leffler random variable.
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jtb_rnd.m - generates 'nsamples' of a Johnson Teitjen beckman random variable.
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stable_rnd.m - generates 'nsamples' of a Stable random variable.
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gamaintg_rnd.m - generates 'nsamples' of a Linnik random variable.
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genormlap_rnd.m - generates 'nsamples' of a Stable random variable.
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ades_rnd.m - generates 'nsamples' of an Ades random variable.
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stable_rnd.m - generates 'nsamples' of a Stable random variable.
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grassia2_rnd.m - generates 'nsamples' of a Grassia 2 random variable.
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grassia1_rnd.m - generates 'nsamples' of a Grassia 1 random variable.
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AssociatedLaguerrePoly(n,k)
AssociatedLaguerrePoly.m by David Terr, Raytheon, 5-11-04
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KummerU(a, b, z)
KummerU.m - evaluates a Kummer U function.
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LaguerreGen.m
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LaguerrePoly(n)
LaguerrePoly.m by David Terr, Raytheon, 5-11-04
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[chg]=KummerComplex(a,b,z)
%KUMMERCOMPLEX Confluent hypergeometric function 1F1
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[data, text, rawData, customO...
XLSREAD Get data and text from a spreadsheet in an Excel workbook.
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[data, text, rawData, customO...
XLSREAD Get data and text from a spreadsheet in an Excel workbook.
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[gr,gi]=cgama(x,y,kf)
[RealPartResult,ImaginaryPartResult]=cgama(RealPart,ImaginaryPart,1)
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[nt,kf,xa,xb,xc,xd]=airyzo(nt...
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[pfq]=genHyper(a,b,z,lnpfq,ix...
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[z, y]=hypergeometric2F1ODE(a...
[z,y]=hypergeometric2F1ODE(a,b,c,zSpan,relTol,absTolF,absTolFp)
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absorp_cdf(n,q,mm,nn)
absorp_cdf.m - compute absorption (Dunkl q-binomial) Cumulative Distribution Function.
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absorp_pdf(n, q, mm, nn)
Absorp_pdf.m - evaluates an Ansorption (Dunkl q-binomial) Probability Density.
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adblexp_cdf(x, kappa)
adblexp_cdf.m - compute Asymetric Double Exponentiatial Cumulative Distribution Function.
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adblexp_pdf(x, kappa)
adblexp_pdf.m - evaluates an Asymetric Double Exonentiatial Probability Density.
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addweib_cdf(x, a, b, c, d)
addweib_cdf.m - evaluates an Additive Weibull Cumulative Distribution.
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addweib_pdf(x, a, b, c, d)
addweib_pdf.m - evaluates an Additive Weibull Probability Density.
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ahuja_cdf(x,mu,rho,phi)
ahuja_cdf.m - compute Ahuja & Nash Cumulative Distribution Function.
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ahuja_pdf(x, mu, rho, phi)
ahuja_pdf.m - evaluates an Ahuja & Nash Probability Density.
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airy(k,z)
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airy_cdf(x)
airy_cdf.m - evaluates an Airy Cumulative Distribution.
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airy_pdf(x)
airy_pdf.m - evaluates an Airy Probability Density.
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akimpe(A,N,NN) ...
COMPUTES CUBIC POLYNOMIAL INTERPOLATION OF A PERIODIC
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alpha_cdf(x, alpha, bet)
alpha_cdf.m - evaluates an Alpha Cumulative Distribution.
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alpha_pdf(x, alpha, bet)
alpha_pdf.m - evaluates an alpha Probability Density.
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alphetamu_cdf(x, alpha, eta, ...
alphetamu_cdf.m - evaluates an Alpha-Eta-Mu Cumulative Distribution.
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alphetamu_pdf(x, alpha, eta, ...
alphetamu_pdf.m - evaluates an Alpha-Eta-Mu Probability Density.
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alphkapmu_cdf(x, alpha, kappa...
alphkapmu_cdf.m - evaluates an Alpha-Kappa-Mu Cumulative Distribution.
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alphkapmu_pdf(x, alpha, kappa...
alphkapmu_pdf.m - evaluates an Alpha-Kappa-Mu Probability Density.
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althadd_cdf(n,k,alpha,p)
althadd_cdf.m - compute Altham Additive Correlated Binomial Cumulative Distribution Function.
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althadd_pdf(n, k, alpha, p)
althadd_pdf.m - evaluates an Altham Additive Correlated Binomial Probability Density.
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althmult_cdf(n,k,theta,p)
althmult_cdf.m - compute Altham Multiplicitive Correlated Binomial Cumulative Distribution Function.
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althmult_pdf(n, k, theta, p)
althmult_pdf.m - evaluates an Altham Multiplicitive Correlated Binomial Probability Density.
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amoroso_cdf(x,a,alpha,bet,the...
amoroso_cdf.m - compute Amoroso Cumulative Distribution Function.
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amoroso_pdf(x, a, alpha, bet,...
amoroso_pdf.m - evaluates an Amoroso Probability Density.
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anglit_cdf(x)
anglit_cdf.m - evaluates a Cumulative Anglit Distribution.
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anglit_pdf(x)
anglit_pdf.m - evaluates an Anglit Probability Density.
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apd_cdf(x,alpha,lambda)
apd_cdf.m - compute Asymmetric Power Cumulative Distribution Function.
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apd_cdf(x,mu,sigma,p)
invgausmix_cdf.m - compute Inverse Gaussian Mixture Cumulative Distribution Function.
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apd_pdf(x, alpha, lambda)
apd_pdf.m - evaluates an Asymmetric Power Probability Density.
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appell(a, b1, b2, c, x1, x2)
appell.m - Appell's Type 1 Hypergeometric Function by direct integration.
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arcsine_cdf(x);
arcsine_cdf.m - evaluates a Cumulative Arcsine Distribution.
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arcsine_pdf(x);
arcsine_pdf.m - evaluates an Arcsine Probability Density.
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arf_cdf(n, nn, k)
arf_cdf.m - compute Arfwedson Cumulative Distribution Function.
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arf_pdf(n, nn, k)
arf_pdf.m - evaluates an Arfwedson Probability Density.
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ascfac_cdf(n,nn,c)
ascfac_cdf.m - compute Ascending Factorial Cumulative Distribution Function.
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ascfac_pdf(n,nn,c)
ascfac_pdf.m - evaluates an Ascending Factorial Density.
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asymlapl_cdf(x, alpha, bet, t...
asymlapl_cdf.m - evaluates an Asymmetric Laplace Cumulative Distribution.
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asymlapl_pdf(x, alpha, bet, t...
asymlapl_pdf.m - evaluates an Asymmetric Laplace Probability Density.
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asymsub_cdf(x, alpha, kappa, ...
asymsub_cdf.m - compute Asymmetric Subbotin Cumulative Distribution Function.
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asymsub_pdf(x, alpha, kappa, ...
asymsub_pdf.m - evaluates an Asymmetric Subbotin Probability Density.
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asyncount_cdf(n,k,lambdat)
asyncount_cdf.m - compute Asynchronous Counting Cumulative Distribution Function.
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asyncount_pdf(n, k, lambdat)
asyncount_pdf.m - evaluates an Asynchronous Counting Probability Density.
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azzal_cdf(x,lambda,xi)
azzal_cdf.m - compute Azzalini Cumulative Distribution Function.
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azzal_pdf(x, lambda, xi)
azzal_pdf.m - evaluates an Azzalini Probability Density.
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bain_cdf(x,theta);
bain_cdf.m - compute Bain Power Cumulative Distribution Function.
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bain_pdf(x, theta)
bain_pdf.m - evaluates a Bain Probability Density.
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banach_cdf(n,N)
banach_cdf.m - compute Banach's Matchbox Cumulative Distribution Function.
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banach_pdf(n, N)
banach_pdf.m - evaluates a Banach's Matchbox Probability Density.
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bates_cdf(x, nn)
bates_cdf.m - evaluates a Bates Cumulative Distribuiton.
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bates_pdf(x, nn)
bates_pdf.m - evaluates a Bates Probability Density.
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beckman_cdf(x,m);
beckman_cdf.m - compute Beckman Cumulative Distribution Function.
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beckman_pdf(x, m)
beckman_pdf.m - evaluates a Beckman Probability Density.
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benford_cdf(n)
benford_cdf.m - compute Benford Cumulative Distribution Function.
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benford_pdf(n)
benford_pdf.m - evaluates a Benford Probability Density.
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benini_cdf(x, b, x0)
benini_cdf.m - evaluates a Benini Cumulative Distribution.
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benini_pdf(x, b, x0)
benini_pdf.m - evaluates a Benini Probaility Density.
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benkt1_cdf(x, alpha, bet)
benkt1_cdf.m - evaluates a Benktander I Cumulative Distribution.
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benkt1_pdf(x, alpha, bet)
benkt1_pdf.m - evaluates a Benktander I Probability Density.
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benkt2_cdf(x, alpha, bet);
benkt2_cdf.m - evaluates a Benktander II Cumulative Distribution.
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benkt2_pdf(x, alpha, bet);
benkt2_pdf.m - evaluates a Benktander II Probability Density.
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besbirnsan_cdf(x,alpha,bet,r,...
besbirnsan_cdf.m - compute Bessel Birnbaum Sanders Cumulative Distribution Function.
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besbirnsan_pdf(x, alpha, bet,...
besbirnsan_pdf.m - evaluates a Bessel Birnbaum Sanders Probability Density.
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bessel2_cdf(x,bet,lambda,thet...
bessel2_cdf.m - compute Bessel2 Cumulative Distribution Function.
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bessel2_pdf(x, bet, lambda, t...
bessel2_pdf.m - evaluates a Bessel II Probability Density.
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bessel2_pdf(x, beta, lambda, ...
bessel2_pdf.m - evaluates a Bessel II Probability Density.
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bessel_cdf(n, a, nu)
bessel_cdf.m - compute Bessel Cumulative Distribution Function.
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bessel_pdf(n, a, nu)
bessel_pdf.m - evaluates a Bessel Probability Density.
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besseli(nu,z,scale)
BESSELI Modified Bessel function of the first kind.
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beta(z,w,v)
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beta1_cdf(x, a, b, p, q)
beta1_cdf.m - evaluates a Beta I Cumulative Distribution.
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beta1_pdf(x, a, b, p, q)
beta1_pdf.m - evaluates a Beta I Probability Density.
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beta1mix_cdf(x,nn,p,a,b)
beta1mix_cdf.m - compute binomial Mixture of Beta2 Cumulative Distribution Functions.
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beta1mix_pdf(x, nn, p, a, b)
beta1mix_pdf.m - evaluatess a Binomial Mixture of a Beta 1 Probability Density.
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beta2_cdf(x, b, p, q);
beta2_cdf.m - evaluates a Cumulative Beta2 Distribution.
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beta2_pdf(x, b, p, q)
beta2_pdf.m - evaluates a Beta2 Probability Density Distribution.
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beta2mix_cdf(x,nn,p,a,b)
beta2mix_cdf.m - compute binomial Mixture of Beta2 Cumulative Distribution Functions.
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beta2mix_pdf(x, nn, p, a, b)
beta2mix_pdf.m - evaluates a Binomial Mixture of Beta2 Probability Densities.
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beta4_cdf(x, alpha, bet, a, b...
beta4_cdf.m - evaluates a 4-Parameter Beta Cumulative Distribution.
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beta4_pdf(x, alpha, bet, a, b...
beta4_pdf.m - evaluates a 4-Parameter Beta Probability Density.
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beta_cdf(x, alpha, bet)
beta_cdf.m - tests a Beta Probability Density.
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beta_pdf(x, alpha, bet)
beta_pdf.m - tests a Beta Probability Density.
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betabin_cdf(n, alpha, bet, nn...
betabin_cdf.m - compute Beta Binomial Cumulative Distribution Function.
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betabin_pdf(n, alpha, bet, nn...
betabin_pdf.m - evaluates a Beta Binomial Probability Density.
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betadiff_cdf(x,p1,q1,p2,q2)
betadiff_cdf.m - compute beta difference Cumulative Distribution Functions.
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betadiff_pdf(x, p1, q1, p2, q...
betadiff_pdf.m - evaluates a Beta Difference Probability Density.
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betageom_cdf(n, alpha, bet)
betageom_cdf.m - evaluates a Beta Geometric Cumulative Distribution.
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betageom_pdf(n, alpha, bet)
betageom_pdf.m - evaluates a Beta Geometric Probability Density.
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betagum_cdf(x, a, b, mu, sigm...
betagum_cdf.m - compute Beta Gumbel Cumulative Distribution Function.
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betagum_pdf(x, a, b, mu, sigm...
betagum_pdf.m - compute Beta Gumbel Probability Density Function.
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betaln(z,w)
BETALN Logarithm of beta function.
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betanorm_cdf(x,alpha,bet,mu,s...
betanorm_cdf.m - compute Beta Normal Cumulative Distribution Function.
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betanorm_pdf(x, alpha, bet, m...
betanorm_pdf.m - evaluates a Beta Normal Probability Density.
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betaprime_cdf(x,alpha,bet);
betaprime_cdf.m - compute Beta Prime Cumulative Distribution Function.
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betaprime_pdf(x, alpha, bet)
betaprime_pdf.m - evaluates a Beta Prime Probability Density.
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betaprod2_pdf(x, p1, q1, p2, ...
betaprod2_pdf.m - evaluates a Beta Product Probability Density.
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betaprod_cdf(x,a,b,lambda,bet...
betaprod_cdf.m - compute Beta Produst Cumulative Distribution Function.
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betaprod_pdf(x, a, b, lambda,...
betaprod_pdf.m - evaluates a Beta Product Probability Density.
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betaratio_cdf(x,a,b,lambda,be...
betaratio_cdf.m - compute Beta Product Cumulative Distribution Function.
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betaratio_pdf(x, a, b, lambda...
betaratio_pdf.m - evaluatess a Beta Ratio Probability Density.
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betaspacy_cdf(x,a,b,e)
betaspacy_cdf.m - compute Beta Spacy Cumulative Distribution Function.
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betastacy_cdf(x,a,b,e)
betastacy_cdf.m - compute Beta Stacy Cumulative Distribution Function.
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betastacy_pdf(x, a, b, e)
betastacy_pdf.m - evaluatess a Beta Stacy Probability Density.
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betasum_cdf(x,p1,q1,p2,q2)
betasum_cdf.m - compute Beta Sum Cumulative Distribution Function.
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betasum_pdf(x, p1, q1, p2, q2...
betasum_pdf.m - evaluates a Beta Sum Probability Density.
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betawarn_cdf(x, b, m, n, nu1,...
betawarn_cdf.m - compute Beta Warning Time Cumulative Distribution Functions.
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betawarn_pdf(x, b, m, n, nu1,...
betawarn_pdf.m - evaluates a Beta Warning Time Probability Density.
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betnegbin_cdf(n,alpha,bet,gam...
betnegbin_cdf.m - compute Beta Negative Binomial Cumulative Distribution Function.
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betnegbin_pdf(n, alpha, bet, ...
betnegbin_pdf.m - evaluates a Beta Negative Binomial Probability Density.
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betpascal(n,k,l,m)
betpascal_cdf.m - compute Beta Pascal Cumulative Distribution Function.
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betpascal_pdf(n, k, l, m)
betpascal_pdf.m - evaluates a Beta Pascal Probability Density.
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bin1ordk_cdf(n,k,p,nn)
bin1ordk_cdf.m - compute Type I Binomial Order k Cumulative Distribution Function.
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bin1ordk_pdf(n, k, p, nn)
bin1ordk_pdf.m - evaluates a Type I Binomial Order K Probability denisity.
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bin2ordk_cdf(n,k,p,nn)
bin2ordk_cdf.m - compute Type II Binomial Order k Cumulative Distribution Function.
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bin2ordk_pdf(n, k, p, nn)
bin2ordk_pdf.m - evaluates a Type II Binomial Order K Probability denisity.
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bin3ordk_cdf(n,k,p,nn)
bin3ordk_cdf.m - compute Type III Binomial Order k Cumulative Distribution Function.
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bin3ordk_pdf(n, k, p, nn)
bin3ordk_pdf.m - evaluates a Type III Binary order K Probability denisity.
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binasin2_cdf(n,nn,alpha)
binasin2_cdf.m - compute Binomial Arcsine Cumulative Distribution Function.
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binasin2_pdf(n, nn, alpha)
binasin2_pdf.m - evaluates a Compound Binomial Arcsine Probability Density.
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binasin_cdf(n, nn)
binasin_pdf.m - evaluates a Compound Binomial Arcsine Cumulative Distribution.
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binasin_pdf(n, nn)
binasin_pdf.m - evaluates a Compound Binomial Arcsine Probability Density.
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binbet_cdf(n, nn, w, p)
binbet_cdf.m - evaluates a Compound Binomial Beta Cumulative Distribution.
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binbet_pdf(n, nn, w, p)
binbet_pdf.m - evaluates a Compound Binomial Beta Probability Density.
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binbin_cdf(n, k, m, p)
binbin_cdf.m - compute Binomial-Binomial Cumulative Distribution Function.
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binbin_pdf(n, k, m, p)
binbin_pdf.m - evaluates a Binomial-Binomial Probability Density.
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binbinmix_cdf(n,N1,p1,N2,p2)
binbinmix_cdf.m - compute Binomial-Binomial Mixture Cumulative Distribution Function.
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binbinmix_pdf(n, N1, p1, N2, ...
binbinmix_pdf.m - evaluates a Beta Pascal Probability Density.
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binchi_cdf(n,nn,b,c,md2)
binchi_cdf.m - evaluates a Compound Binomial Chi Cumulative Distribution.
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binchi_pdf(nh,nn,b,c,md2)
binchi_pdf.m - evaluates a Compound Binomial Chi Probability Density.
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binchisq_cdf(n,nn,c,md2)
binchisq_cdf.m - evaluates a Compound Binomial Chi Square Cumulative Distribution.
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binchisq_pdf(nh, nn, c, sd2)
binchisq_pdf.m - tests a Compound Binomial Chi-Square Probability Density.
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binerlang_cdf(n,nn,b,c,m)
binerlag_cdf.m - evaluates a Compound Binomial Erlang Cumulative Distribution.
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binerlang_pdf(nh,nn,b,c,m)
binerlang_pdf.m - evaluates a Compound Binomial Erlang Probability Density.
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binexp_cdf(n,nn,b,c)
binexp_cdf.m - evaluates a Compound Binomial Exponential Cumulative Distribution.
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binexp_cdf(n,nn,b,c)
binexp_cdf.m - evaluates a Compound Binomial Exponential Cumulative Distribution.
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binexp_pdf(nh,nn,b,c)
binexp_pdf.m - evaluates a Compound Binomial Exponential Probability Density.
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bingengam_cdf(n,nn,a,b,c,p)
bintrnorm_cdf.m - evaluates a Compound Binomial Generalized Gamma Cumulative Distribution.
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bingengam_pdf(nh,nn,a,b,c,p)
bingengam_pdf.m - evaluates a Compound Binomial Generalized Gamma Probability Density.
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binhypmix_cdf(n, m, N1, Np, N...
binhypmix_cdf.m - compute Binomial Hypergeometric Mixture Cumulative Distribution Function.
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binhypmix_pdf(n, m, N1, Np, N...
binhypmix_pdf.m - evaluates a Binomial Hypergeometric Mixture Probability Density.
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binmax_cdf(n,nn,b,c)
binmax_cdf.m - evaluates a Compound Binomial Maxwell Cumulative Distribution.
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binmax_pdf(nh,nn,b,c)
binmax_pdf.m - evaluates a Compound Binomial Maxwell Probability Density.
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binnegbin_cdf(n, p, m, P, k)
binnegbin_cdf.m - compute Binomial Negative Binomial Cumulative Distribution Function.
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binnegbin_pdf(n, p, m, P, k)
binnegbin_pdf.m - evaluates a Binomial Negative Binomial Probability Density.
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binomdiff_cdf(n,N1,p1,N2,p2)
binomdiff_cdf.m - compute Binomial Difference Cumulative Distribution Function.
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binomdiff_pdf(n, N1, p1, N2, ...
binomdiff_pdf.m - evaluates a Binomial Difference Probability Density.
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binomhyp_cdf(n, p, N1, Np, N2...
binomhyp_cdf.m - compute Binomial Hypergeometric Cumulative Distribution Function.
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binomhyp_pdf(n, p, N1, Np, N2...
binomhyp_pdf.m - evaluates a Binomial Hypergeometric Probability Density.
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binomial(n,d)
BINOMIAL calculate the binomial coefficient
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binomial_cdf(x,n,p)
BINOCDF Binomial cumulative distribution function.
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binomial_coef(n, k)
BINOMIAL_COEF computes the Binomial coefficient C(N,K).
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binomial_pdf(x,n,p)
BINOPDF Binomial probability density function.
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binomlog_cdf(n, p, N1, theta)
binomlog_cdf.m - compute Binomial Logarithmic Cumulative Distribution Function.
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binomlog_pdf(n, N1, p, theta)
binomlog_pdf.m - evaluates a Binomial Logarithmic Probability Density.
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binomsum_cdf(n,N1,p1,N2,p2)
binomsum_cdf.m - compute Binomial Sum Cumulative Distribution Function.
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binomsum_pdf(n, N1, p1, N2, p...
binomsum_pdf.m - evaluates a Binomial Sum Probability Density.
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binomtri_cdf(n,nn,theta)
binomtri_cdf.m - compute Binomial Triangular Cumulative Distribution Function.
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binomtri_pdf(n, nn, theta)
binomtri_pdf.m - evaluates a Binomial Triangular Probability Density.
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binpois_cdf(n, p, m, M)
binpois_cdf.m - compute Binomial Poisson Cumulative Distribution Function.
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binpois_pdf(n, p, m, M)
binpois_pdf.m - evaluates a Binomial Poisson Probability Density.
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binpoismix_cdf(n, p, nk, thet...
binpois_cdf.m - compute Binomial Poisson Mixture Cumulative Distribution Function.
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binpoismix_pdf(n, p, nk, thet...
binpoismix_pdf.m - evaluates a Binomial Poisson Mixture Probability Density.
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binray_pdf(nh,nn,b,c)
binray_pdf.m - evaluates a Compound Binomial Rayleigh Probability Density.
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bintrnorm_cdf(n,nn,c,b)
bintrnorm_cdf.m - evaluates a Compound Binomial Truncated Normal Cumulative Distribution.
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bintrnorm_pdf(nh, nn, c, b)
bintrnorm_pdf.m - evaluates a Compound Binomial Truncated Normal Probability Density.
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binunif_cdf(x,p,h)
binunif_cdf.m - compute Binomial Uniform Cumulative Distribution Function.
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binunif_pdf(x, p, h)
binunif_pdf.m - evaluates a Binomial Uniform Probability Density.
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binweib_cdf(n,nn,b,c,p)
binweib_cdf.m - evaluates a Compound Binomial Weibull Cumulative Distribution.
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binweib_pdf(nh,nn,b,c,p)
binweib_pdf.m - evaluates a Compound Binomial Weibull Probability Density.
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biweib_cdf(x, s1, gam1, mu2, ...
beiweib_cdf.m - compute Bi-Weibull Cumulative Distribution Function.
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biweib_pdf(x, s1, gam1, mu2, ...
biweib_pdf.m - evaluates the Bi-Weibull Probability Density Function.
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bohman_cdf.m
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bohman_pdf(x)
bohman_pdf.m - evaluates a Bohman Probability Density.
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borel_cdf(n, theta)
borel_cdf.m - compute Borel Cumulative Distribution Function.
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borel_pdf(n, theta)
borel_pdf.m - evaluates a Borel Probability Density.
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borelherm_cdf(n, m, lambda, m...
borelherm_cdf.m - compute Borel Hermite Cumulative Distribution Function.
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borelherm_pdf(n, m, lambda, m...
borelherm_pdf.m - evaluates a Borel Hermite Probability Density.
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borelt_cdf(n, r, theta)
borelt_cdf.m - compute Borel-Tanner Cumulative Distribution Function.
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borelt_pdf(n, r, theta)
borelt_pdf.m - evaluates a Borel-Tanner Probability Density.
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bose_cdf(x,s,mu)
bose_cdf.m - compute Bose-Einstein Cumulative Distribution Function.
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bose_pdf(x,s,mu);
bose_pdf.m - compute Bose-Einstein Probability Density Function.
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bosein_cdf(n, b, c)
bosein_cdf.m - compute Bose Einstein Counting Cumulative Distribution Function.
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bosein_pdf(n, b, c)
bosein_pdf.m - evaluates a Bose Eistein Counting Probability Density.
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boxcox_cdf(x,sigma,mu,nu)
boxcox_cdf.m - compute BoxCox Cumulative Distribution Function.
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boxcox_pdf(x, sigma, mu, nu)
boxcox_pdf.m - evaluates a BoxCox Probability Density.
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boxcoxpe_cdf(x, mu, sigma, nu...
boxcoxpe_cdf.m - compute Box Cox Power Exponential Cumulative Distribution Function.
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boxcoxpe_pdf(x, mu, sigma, nu...
boxcoxpe_pdf.m - evaluates a Box Cox Power Exponential Probability Density.
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boxcoxt_cdf(x, mu, sigma, nu,...
boxcoxt_cdf.m - compute Box Cox T Cumulative Distribution Function.
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boxcoxt_pdf(x, mu, sigma, nu,...
boxcoxt_pdf.m - evaluates a Box Cox T Probability Density.
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bradf_cdf(x, bet)
bradf_cdf.m - evaluates a Cumulative Bradford Distribution.
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bradf_pdf(x, bet)
bradf_pdf.m - evaluates a Bradford Probability Density.
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britfrac_cdf(x, alpha, bet, r...
britfrac_cdf.m - evaluates a Brittle Fracture Cumulative Distribution.
-
britfrac_pdf(x, alpha, bet, r...
britfrac_pdf.m - evaluates a Brittle Fracture Probability Density.
-
burr10_cdf(x, r)
burr10_cdf.m - evaluates a Cumulative Burr X Distribution.
-
burr10_pdf(x, r)
burr10_pdf.m - evaluates a Burr X Probability Density.
-
burr11_cdf(x, r)
burr11_cdf.m - evaluates a Cumulative Burr XI Distribution.
-
burr11_pdf(x, r)
burr11_pdf.m - evaluates a Burr XI Probability Density.
-
burr12_cdf(x, a, c, k)
burr12_cdf.m - evaluates a Cumulative Burr XII Distribution.
-
burr12_pdf(x, a, c, k)
burr12_pdf.m - evaluates a Burr XII Probability Density.
-
burr2_cdf(x, r)
burr2_cdf.m - evaluates a Cumulative Burr II Distribution.
-
burr2_pdf(x, r)
burr2_pdf.m - evaluates a Burr II Probability Density.
-
burr3_cdf(x, a, b, p)
burr3_cdf.m - evaluates a Cumulative Burr III Distribution.
-
burr3_pdf(x, a, b, p)
burr3_pdf.m - evaluates a Burr III Probability Density.
-
burr4_cdf(x, c, r)
burr4_cdf.m - evaluates a Cumulative Burr IV Distribution.
-
burr4_pdf(x, c, r)
burr4_pdf.m - evaluates a Burr IV Probability Density.
-
burr5_cdf(x, k, r)
burr5_cdf.m - evaluates a Cumulative Burr V Distribution.
-
burr5_pdf(x, k, r)
burr5_pdf.m - evaluates a Burr V Probability Density.
-
burr6_cdf(x, k, r)
burr6_cdf.m - evaluates a Cumulative Burr VI Distribution.
-
burr6_pdf(x, k, r)
burr6_pdf.m - evaluates a Burr VI Probability Density.
-
burr7_cdf(x, r)
burr7_cdf.m - evaluates a Cumulative Burr VII Distribution.
-
burr7_pdf(x, r)
burr7_pdf.m - evaluates a Burr VII Probability Density.
-
burr8_cdf(x, r)
burr8_cdf.m - evaluates a Cumulative Burr VIII Distribution.
-
burr8_pdf(x, r)
burr8_pdf.m - evaluates a Burr VIII Probability Density.
-
burr9_cdf(x, k, r)
burr9_cdf.m - evaluates a Cumulative Burr IX Distribution.
-
burr9_pdf(x, k, r)
burr9_pdf.m - evaluates a Burr IX Probability Density.
-
burr_cdf(x, a, b, c, d)
burr_cdf.m - evaluates a Cumulative Burr (Fisk) Distribution.
-
burr_pdf(x, a, b, c, d)
burr_pdf.m - evaluates a Burr (Fisk for D = 1) Probability Density Distribution.
-
cannibal_cdf(n, k, m)
cannibal_cdf.m - compute a Cannibal Urn Cumulative Distribution Function.
-
cannibal_pdf(n, k, m)
cannibal_pdf.m - evaluates a Cannibal Urn Probability Density.
-
cantor_cdf(x, maxdigits)
cantor_cdf.m - generate Cantor Cumulative Distribution Function
-
cardiod_cdf(x, mu, rho)
cardioid_cdf.m - evaluates a Cardioid Cumulative Distribution.
-
cardiod_pdf(x, mu, rho)
cardioid_pdf.m - evaluates a Cardioid Probability Density.
-
carlitz1(n, m, x)
carlitz1.m - evaluates the Stirling-Carlitz Type 1 polymonial coefficients.
-
carlitz2(n, m, x)
carlitz2.m - evaluates the Stirling-Carlitz Type 2 polymonial coefficients.
-
cascade2_pdf(n, d, p, r)
cascade2_pdf.m - evaluates a Cascade Probability Density.
-
cascade_cdf(n, d, p, r)
cascade_cdf.m - compute Cascade Cumulative Distribution Function.
-
cascade_pdf(n, d, p, r)
cascade_pdf.m - evaluates a Cascade Probability Density.
-
caubirnsan_cdf(x,alpha,bet)
caubirnsan_cdf.m - compute Cauchy Birnbaum Sanders Cumulative Distribution Function.
-
caubirnsan_pdf(x, alpha, bet)
caubirnsan_pdf.m - evaluates a Cauchy Birnbaum Sanders Probability Density.
-
cauchy_cdf(x, s, t)
cauchy_cdf.m - evaluates a Cumulative Cauchy Distribution.
-
cauchy_pdf(x, s, t)
cauchy_pdf.m - evaluates a Cauchy Probability Density.
-
cdf3(x, di, pv, distrib, cv)
-
cdf3d(x, di, pv, distrib, cv)
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cdf4d(x, di, pv, distrib, cv)
-
cgamma(z)
GAMMA Gamma function valid in the entire complex plane.
-
champer4p_cdf(x, sigma, theta...
champer4p_cdf.m - tests a Champernowne 4-paramater Cumulative Distribution.
-
champer4p_pdf(x, sigma, theta...
champer4p_pdf.m - tests a Champernowne 4-paramater Probability Density.
-
champer_cdf(x, mu, theta);
champer_cdf.m - compute Champernowne Cumulative Distribution Function.
-
champer_pdf(x, mu, theta)
champer_pdf.m - evaluates a Champernowne Probability Density.
-
chanegbin_cdf(n, p, pii)
chanegbin_cdf.m - evaluates a Chain Negative Binomial Cumulative Distribution.
-
chanegbin_pdf(n, p, pii)
chanegbin_pdf.m - evaluates a Chain Negaitve Binomial Probability Density.
-
chaudhry_cdf(x, alpha, bet)
chaudhry_cdf.m - tests a Chaudhry & Ahmad Cumulative Distribution.
-
chaudhry_pdf(x, alpha, bet)
chaudhry_pdf.m - tests a Chaudhry & Ahmad Probability Density.
-
chen_cdf(x, lambda, bet)
chen_cdf.m - evaluates a Chen Weibull Cumulative Distribution.
-
chen_pdf(x, lambda, bet)
chen_pdf.m - evaluates a Chen Weibull Probability Density.
-
chernoff_cdf(x)
chernoff_cdf.m - compute a Chernoff Cumulative Distribution Function.
-
chernoff_pdf(x)
chernoff_pdf.m - evaluates a Chernoff Probability Density.
-
chi_cdf(x, nu)
chi_cdf.m - compute Chi Cumulative Distribution Function.
-
chi_pdf(x, nu)
chi_pdf.m - evaluates the Chi Probability Density Function.
-
chisq_cdf(x, nu)
Chisq_cdf.m evaluates a Chi-squared Cumulative Distribution.
-
chisq_pdf(x, nu)
chisq_pdf.m - evaluates a Chi-squared Probability Distribution.
-
chisqprod_cdf(x,nu1,nu2)
apd_cdf.m - compute Chi Square Product Cumulative Distribution Function.
-
chisqprod_pdf(x, nu1, nu2)
chisqprod_pdf.m - evaluates a Chi-Square Product Probability Density.
-
circline_cdf(x, R)
circline_cdf.m - evaluates a Circle-Line Cumulative Distribution.
-
circline_pdf(x, R)
circline_pdf.m - evaluates a Circle-Line Probability Density.
-
circnorm_cdf(x,k,theta)
circnorm_cdf.m - compute Circular Normal Cumulative Distribution Function.
-
circnorm_pdf(x, k, theta)
circnorm_pdf.m - evaluates a Circular Normal Probability Density.
-
claplnorm_cdf(x,sigma,tsi,phi...
claplnorm_cdf.m - compute Compund Laplace Normal Cumulative Distribution Function.
-
claplnorm_pdf(x, sigma, tsi, ...
claplnorm_pdf.m - evaluates a Compound Laplace Normal Probability Density.
-
clusize_cdf(n, w, k)
clusize_cdf.m - evaluates a Cluster Size Cumulative Distribution.
-
clusize_pdf(n, w, k)
clusize_pdf.m - evaluates a Cluster Size Probability Density.
-
cmpdpois_cdf(n,lambda,mu)
absorp_cdf.m - compute absorption (Dunkl q-binomial) Cumulative Distribution Function.
-
cmpdpois_pdf(n, lambda, mu)
cmpdpois_pdf.m - generates a Compound Poisson Density.
-
cnormlapl_cdf(x, sigma, theta...
cnormlapl_cdf.m - evaluates a Compount Normal Laplace Cumulative Distribution.
-
com_cdf(n, lambda, nu)
com_cdf.m - compute Conway-Maxwell-Poisson Cumulative Distribution Function.
-
com_pdf(n, lambda, nu)
com_pdf.m - compute Conway-Maxwell-Poisson Probability Density Function.
-
comintpois_cdf(n,theta,lambda...
comintpois_cdf.m - compute Compound Intervened Poisson Cumulative Distribution Function.
-
comintpois_pdf(n, theta, lamb...
comintpois_pdf.m - evaluates a Compound Intervened Poisson Probability Density.
-
comlapgam_cdf(x,alpha,bet,the...
comlapgam_cdf.m - compute Compound Laplace Gamma Cumulative Distribution Function.
-
comlapgam_pdf(x, alpha, bet, ...
comlapgam_pdf.m - evaluates a Compound Laplace Gamma Probability Density.
-
compbeta_cdf(x, alpha, bet)
compbeta_cdf.m - evaluates a Complementary Beta Cumulative Distribution.
-
compbeta_pdf(x, alpha, bet)
compbeta_pdf.m - evaluates a Complementary Beta Probability Density.
-
complexerrorfunc(Z)
% This function computes the complex scaled complementary error function
-
compnorm_cdf(x,phi,sigma,thet...
compnorm_cdf.m - compute Compound Normal Cumulative Distribution Function.
-
compnorm_pdf(x, phi, sigma, t...
compnorm_pdf.m - evaluatess a Compound Normal Probability Density.
-
compoisok_cdf(n,k,alpha,c)
compoisok_cdf.m - compute Compound Poisson Order K Cumulative Distribution Function.
-
compoisok_pdf(n, k, alpha, c)
compoisok_pdf.m - evaluates a Compound Poisson Order K Probability denisity.
-
composition_cdf(n,N,K)
composition_cdf.m - compute Anderson Composition Cumulative Distribution Function.
-
composition_pdf(n, N, K)
composition_pdf.m - evaluates an Anderson Composition Probability Density.
-
confluhyp_cdf(x,p,q,s)
confluhyp_cdf.m - compute Confluent Hypergeometric Cumulative Distribution Function.
-
confluhyp_pdf(x, p, q, s)
confluhyp_pdf.m - evaluates the Confluent Hypergeometric Probability Density Function.
-
connegbin_cdf(n,k,P)
connegbin_cdf.m - compute Condensed Negative Binomial Cumulative Distribution Function.
-
connegbin_pdf(n, k, P)
connegbin_pdf.m - evaluates a Condensed Negative Binomial Probability denisity.
-
consul_cdf(n, m, p, k)
consul_cdf.m - compute Consul (binomial delta) Cumulative Distribution Function.
-
consul_pdf(n, m, p, k)
consul_pdf.m - evaluates a Consul (Binomial Delta) Probability Density.
-
cosine_cdf(x)
cosine_cdf.m - evaluates a Cumulative Cosine Probability Distribution.
-
cosine_pdf(x)
cosine_pdf.m - evaluates a Cosine Probability Density Function.
-
cox2_cdf(x,p,lambda1,lambda2)
cox2_cdf.m - evaluate a Coxian-2 Cumulative Distribution Function.
-
cox2_pdf(x, p, lambda1, lambd...
cox2_pdf.m - evaluate a Coxian-2 Probability Density Function.
-
crommelin_cdf(n, rho, D, nend...
crommelin_cdf.m - evaluates a Crommelin Cumulative Distribution.
-
crommelin_pdf(n, rho, D, nend...
crommelin_pdf.m - evaluates a Crommelin Probaility Density Function.
-
czeled_cdf(x, mu, sigma, kapp...
czeled_cdf.m - evaluates a Czeledin Cumulative Distribution.
-
czeled_pdf(x, mu, sigma, kapp...
czeled_pdf.m - evaluates a Czeledin Probability Density.
-
d1salvia_cdf(n,alpha);
d1salvia_cdf.m - compute 1-displaced Salvia-Bollinger Cumulative Distribution Function.
-
d1salvia_pdf(n, alpha)
d1salvia_pdf.m - evaluates a 1-displaced Salvia-Bollinger Probability Density.
-
daceybin_cdf(n,p,y)
daceybin_cdf.m - compute absorption (Dunkl q-binomial) Cumulative Distribution Function.
-
daceybin_pdf(n, p, y)
daceybin_pdf.m - evaluates a Dacey Binomial Probability Density.
-
daniels_cdf(x,n,r)
daniels_cdf.m - compute Daniels' Cumulative Distribution Function.
-
daniels_pdf(x, n, r)
daniels_pdf.m - evaluates a Daniels Probability Density.
-
davies_cdf(xv,p_value)
davies_cdf.m - Davies Cumulative Distribution Function.
-
dbinom_cdf(n,nn,pii,psi)
dbinom_cdf.m - compute a Double Binomial Cumulative Distribution Function.
-
dbinom_pdf(n, nn, pii, psi)
dbinom_pdf.m - evaluates a Double Binomial Probability Density.
-
dblgam_cdf(x, gam, mu, bet)
dblgam_cdf.m - compute Double Gamma Cumulative Distribution Function.
-
dblgam_pdf(x, gam, mu, bet)
dblgam_pdf.m - compute Double Gamma Probaility Density Function.
-
dblncf_cdf(x,nu1,nu2,lambda1,...
dblncf_cdf.m - tests a Doubly Non-Central F Cumulative Distribution.
-
dblncf_pdf(x, nu1, nu2, lambd...
dblncf_pdf.m - evaluatess a Doubly Non-Central F Probability Density.
-
dblnct_cdf(x, nu, delta, lamb...
dblnct_cdf.m - evaluatess a Doubly Non-Central T Cumulative Distribution.
-
dblnct_pdf(x, nu, delta, lamb...
dblnct_pdf.m - evaluatess a Doubly Non-Central T Probability Density.
-
dblnegbin_cdf(n, p, p1, m, nn...
dblnegbin_cdf.m - compute Double Negative Binomial Cumulative Distribution Function.
-
dblnegbin_pdf(n, p, p1, m, nn...
dblnegbin_pdf.m - evaluates a Double Negative Binomial Probability Density.
-
dblpois2_cdf(n, lambda, mu)
dblpois2_cdf.m - evaluatess a Double Poisson 2 Cumulative Distribution.
-
dblpois2_pdf(n, lambda, mu)
dblpois2_pdf.m - evaluatess a Double Poisson 2 Probability Density.
-
dblpois_cdf(n,mu,psi,nmax)
dblpois_cdf.m - compute a Double Poisson Cumulative Distribution Function.
-
dblpois_pdf(n, mu, psi, nmax)
dblpois_pdf.m - evaluates a Double Poisson Probability Density.
-
dblray_cdf(x, mu, sigma)
dblray_cdf.m - evaluates a Double Rayleigh Cumulative Distribution.
-
dblray_pdf(x, mu, sigma)
dblray_pdf.m - evaluates a Double Rayleigh Probability Density.
-
dblweib_cdf(x,c,theta,phi)
dblweib_cdf.m - compute Double Weibull Cumulative Distribution Function.
-
dblweib_pdf(x, c, theta, phi)
dblweib_pdf.m - evaluates a Double Weibull Probability Density.
-
dbpar_cdf(x, alpha, bet)
dbpar_cdf.m - tests a Double Pareto Cumulative Distribution.
-
dbpar_pdf(x, alpha, bet)
dbpar_pdf.m - tests a Double Pareto Probaility Density.
-
dbparlogn_cdf(x, alpha, bet, ...
dbparlogn_cpdf.m - evaluates a Double Pareto Lognormal Cuimulative Distribution.
-
dbparlogn_pdf(x, alpha, bet, ...
dbparlogn_pdf.m - evaluates a Double Pareto Lognormal Probability Density.
-
dbtrinvgaus_cdf(x,lambda,mu,x...
dbtrinvgaus_cdf.m - compute Doubly Truncated Inverse Gaussian Cumulative Distribution Function.
-
dbtrinvgaus_pdf(x, lambda, mu...
dbtrinvgaus_pdf.m - tests a Doubly Truncated Inverse Gaussian Probability Density.
-
dbtrlapl_cdf(x, P, Q)
dbtrlapl_cdf.m - evaluates a Doubly Truncated Laplace Cumulative Distribution.
-
dbtrlapl_pdf(x, P, Q)
dbtrlapl_pdf.m - evaluates a Doubly Truncated Laplace Probability Density.
-
dbtrlogis_cdf(x, P, Q, k)
dbtrlogis_cdf.m - evaluates a Doubly Truncated Logistic Cumulative Distribution.
-
dbtrlogis_pdf(x, P, Q, k)
dbtrlogis_pdf.m - evaluates a Doubly Truncated Logistic Probability Density.
-
dbtrnorm_cdf(x, mu, sigma, A,...
dbtrnorm_cdf.m computes a Doubly Truncated normal Cumulative Distribution.
-
dbtrnorm_pdf(x, mu, sigma, A,...
test_dbtrnorm.m - tests a Doubly Truncated Normal Probability Density.
-
delaport_cdf(n, alpha, bet, g...
delaport_cdf.m - compute delaporte Cumulative Distribution Function.
-
delaport_pdf(n, alpha, bet, g...
delaport_pdf.m - evaluates a Delaporte Probability Density.
-
delfelix_cdf(n,lambda,nn)
delfelix_cdf.m - compute Delta Felix Cumulative Distribution Function.
-
delfelix_pdf(n, lambda, nn)
delfelix_pdf.m -evaluates a Delta Felix Probability Density.
-
delgeeta_cdf(n,nn,bet,theta)
delgeeta_cdf.m - compute Delta Geeta Cumulative Distribution Function.
-
delgeeta_pdf(n, nn, bet, thet...
delgeeta_pdf.m - evaluates a Delta Geeta Probability denisity.
-
delkatz_cdf(n,b,bet,nn)
delkatz_cdf.m - compute Delta Katz Cumulative Distribution Function.
-
delkatz_pdf(n, b, bet, nn)
delkatz_pdf.m - evaluates a Delta Katz Probability Density.
-
delotter_cdf(n,p,nn)
delotter_cdf.m - compute Delta Otter Cumulative Distribution Function.
-
delotter_pdf(n, p, nn)
delotter_pdf.m - evaluatess a Delta Otter (Random Walk) Probability Density.
-
delsunil_cdf(n,p,m,nn)
delsunil_cdf.m - compute Delta Sunil Cumulative Distribution Function.
-
delsunil_pdf(n, p, m, nn)
delsunil_pdf.m - evaluates a Delta Sunil Probability Density.
-
delteja_cdf(n,p,nn)
delteja_cdf.m - compute Delta Teja Cumulative Distribution Function.
-
delteja_pdf(n, p, nn)
delteja_pdf.m - evaluates a Delta Teja Probability Density.
-
delved_cdf(n,p,m,nn)
delved_cdf.m - compute Delta Ved Cumulative Distribution Function.
-
delved_pdf(n, p, m, nn)
delved_pdf.m - evaluates a Delta Ved Probability Density.
-
deranged_cdf(n, a)
deranged_cdf.m - evaluates a Deranged Cumulative Distribution Function.
-
deranged_enum(n);
DERANGED_ENUM returns the number of derangements of N objects.
-
deranged_pdf(n, a)
deranged_pdf.m - evaluates a Deranged Probability Density Function.
-
devyld_cdf(x, s)
devyld_cdf.m - evaluates a DeVylder Cumulative Distribution.
-
devyld_pdf(x, s)
devyld_pdf.m - evaluates a DeVylder Probability Density.
-
dgx_cdf(n, mu, sigma)
dgx_cdf.m - compute Discrete Gaussian Exponential Cumulative Distribution Function.
-
dgx_pdf(n, mu, sigma)
dgx_pdf.m - evaluates a Discrete Gaussian Exponential Probability Density.
-
dhillon_cdf(x, lambda, bet)
dhillon_cdf.m - evaluates a Dhillon Cumulative Distribution.
-
dhillon_pdf(x, lambda, bet)
dhillon_pdf.m - evaluates a Dhillon Probability Density.
-
digamma_cdf(n, a, c)
digamma_cdf.m - compute Digamma Cumulative Distribution Function.
-
digamma_pdf(n, a, c)
digamma_pdf.m - generate random deviates for the Digamma Distibution.
-
dipole_cdf(x, a, b)
dipole_cdf.m - evaluates a Cumulative Dipole Distribution.
-
dipole_pdf(x, a, b)
dipole_pdf.m - evaluates a Dipole Probability Density Function.
-
dirmultnom_cdf(n, a, b, c)
-
dirmultnom_pdf(n, a, b, c)
-
disbesl_cdf(n,a,nu)
disbesl_cdf.m - compute a Discrete Bessel Cumulative Distribution Function.
-
disbesl_pdf(n, a, nu)
disbesl_pdf.m - evaluates a Discrete Bessel Probability Density.
-
diskline_cdf(x,R)
diskline_cdf.m - compute Disk-Line Cumulative Distribution Function.
-
diskline_pdf(x, R)
diskline_pdf.m - evaluates a Disk-Line Probability Density.
-
dismaxent_cdf(n,q,lambda,nmin...
genpois2_cdf.m - compute Discrete Maximum Entropy Distribution Function.
-
dismaxent_pdf(n, q, lambda, n...
dismaxent_pdf.m - evaluates a Discrete Maximum Entropy Probability Density.
-
disnbin_cdf(n, k, theta, r, n...
disnbin_cdf.m - compute Displaced Negative Binomial Cumulative Distribution Function.
-
disnbin_pdf(n, k, theta, r, n...
disnbin_pdf.m - evaluates a Displaced Negative Binomial Probability Density.
-
disnorm_cdf(n, nmin, sigma, n...
disnorm_cdf.m - compute Discrete Normal Cumulative Distribution Function.
-
disnorm_pdf(n, nmin, sigma, n...
disnorm_pdf.m is the Discrete Normal Probability Density.
-
dispar_cdf(n,rho)
dispar_cdf.m - compute a Discrete Pareto (Zipf) Cumulative Distribution Function.
-
dispar_pdf(n, rho)
dispar_pdf.m - evaluates a Discrete Pareto (Zipf) Probability Density.
-
dispear3_cdf(n,bet,eta,ups)
dispear3_cdf.m - compute a Discrete Pearson III Cumulative Distribution Function.
-
dispear3_pdf(n, bet, eta, ups...
dispear3_pdf.m - evaluates a Discrete Pearson III Probability Density.
-
dissurv_cdf(n,theta,bet)
dissurv_cdf.m - compute a Discrete Survival Cumulative Distribution Function.
-
dissurv_pdf(n, theta, bet)
dissurv_pdf.m - evaluates a Discrete Survival Probability Density.
-
dist_cdf(n, nmin, m, a, b)
dist_cdf.m - compute a Discrete T Cumulative Distribution Function.
-
dist_nex(k,m)
-
dist_pdf(n, nmin, m, a, b)
dist_pdf.m - evaluates a Discrete T Probability Density.
-
distbeta_cdf(x,a2da1,d1,d2,m,...
distbeta_cdf.m - compute Distented Beta Cumulative Distribution Function.
-
distbeta_pdf(x, a2da1, d1, d2...
distbeta_pdf.m - evaluates a Distended Beta Probability Density.
-
distgam_cdf(x, a, d, m, p)
distgam_cdf.m - compute Distended Gamma Cumulative Distribution Function.
-
distgam_pdf(x, a, d, m, p)
distgam_pdf.m - evaluates a Distended Gamma Probability Density.
-
distribs()
distribs.m - calling program to generate random numbers from any of a wide variety of
-
distribs30()
distribs.m - calling program to generate random numbers from any of a wide variety of
-
distribs31(userin,iseed)
distribs31.m - program to generate random numbers from any of a wide variety of
-
disunifra_cdf(n,M,nn,q)
disunifra_cdf.m - compute a Discrete Uniform Range Cumulative Distribution Function.
-
disunifra_pdf(n, M, nn, q)
disunifra_pdf.m - evaluates a Discrete Uniform Range Probability Density.
-
disweib_cdf(n,q,c)
disweib_cdf.m - compute a Discrete Weibull Cumulative Distribution Function.
-
disweib_pdf(n, q, c)
disweib_pdf.m - evaluates a Discrete Weibull Probability Density.
-
dlinnik_cdf(n, gam, lambda, b...
dlinnik_cdf.m - compute Discrete Linnik Cumulative Distribution Function.
-
dlinnik_pdf(klim, gam, lambda...
test_dlinnik3_pdf.m - tests a Discrete Stable Probability Density.
-
dncbet_cdf(x, a, b, lambda1, ...
dncbet_cdf.m - evaluates a Doubly Non-Central Beta Cumulative Distribution.
-
dstable_cdf(n, gam, lambda)
dstable_cdf.m - compute Discrete Stable Cumulative Distribution Function.
-
dstable_pdf(n, gam, lambda)
dstable_pdf.m - tests a Discrete Stable Probability Density.
-
dstable_pdf(n, gam, lambda)
dstable_pdf.m - tests a Discrete Stable Probability Density.
-
dtrbinom_cdf(n,nn,p,r1,r2)
dtrbinom_cdf.m - compute a Doubly Truncated Binomial Cumulative Distribution Function.
-
dtrbinom_pdf(n, nn, p, r1, r2...
dtrbinom_pdf.m - evaluates a Doubly Truncated Binomial Probability Density.
-
dtrpois_cdf(n,theta,r1,r2)
dtrpois_cdf.m - compute a Doubly Truncated Poisson Cumulative Distribution Function.
-
dtrpois_pdf(n, theta, r1, r2)
dtrpois_pdf.m - evaluates a Doubly Trncated Poisson Probability Density.
-
dtrunweib_cdf(x, c, xi0, alph...
dtrunweib_cdf.m - evaluates a Doubly Truncated Weibull Cumulative Distribution.
-
dtrunweib_pdf(x, c, xi0, alph...
dtrunweib_pdf.m - evaluates a Doubly Truncated Weibull Probability Density.
-
egb2_cdf(x,m,phi,p,q)
egb2_cdf.m - compute Exponential Generalized Beta 2 Cumulative Distribution Function.
-
egb2_pdf(x, m, phi, p, q)
egb2_pdf.m - evaluates an Exponential Generalized Beta 2 Probability Density.
-
eggpol2_cdf(n, lambda, alpha)
eggpol2_cdf.m - compute a Polya Eggenberger Cumulative Distribution Function.
-
eggpol2_pdf(n, lambda, alpha)
eggpol2_pdf.m - evaluates a Polya Eggenberger Probability Density.
-
eggpolurn_cdf(n,N,m,s,u)
eggpolurn_cdf.m - compute an Eggenberger Polya Urn Cumulative Distribution Function.
-
eggpolurn_pdf(n, N, m, s, u)
eggpolurn_pdf.m - evaluates an Eggenberger Polya Urn Probability Density.
-
erdos_cdf(x)
erdos_cdf.m - test an Erdos and Kac Cumulative Distribution.
-
erdos_pdf(x)
erdos_pdf.m - generate an Erdos and Kac Probability Density.
-
erf(x)
ERF Error function.
-
erfc(x)
ERFC Complementary error function.
-
erfz(zz)
ERFZ Error function for complex inputs
-
err_cdf(x,alpha)
err_cdf.m - Error Probability Density Function.
-
err_pdf(x,alpha)
err_pdf.m - Error Probability Density Function.
-
error2_cdf(x,delta,theta,phi)
error2_cdf.m - compute Error 2 Cumulative Distribution Function.
-
error2_pdf(x, delta, theta, p...
error2_pdf.m - evaluates an Error Probability Density.
-
etakappa_cdf(x, kappa)
etakappa_cdf.m - evaluates an Eta-Kappa Cumulative Distribution.
-
etakappa_pdf(x, kappa)
etakappa_pdf.m - evaluates an Eta-Kappa Probability Density.
-
etamu_cdf(x,eta,mu)
etamu_cdf.m - compute Eta-Mu Cumulative Distribution Function.
-
etamu_pdf(x, eta, mu)
etamu_pdf.m - evaluates a Eta - Mu Probability Density.
-
euler_cdf(n,eta,q)
euler_cdf.m - compute an Euler Cumulative Distribution Function.
-
euler_pdf(n, eta, q)
euler_pdf.m - evaluates an Euler Probability Density.
-
exbert1_cdf(n,nn,rho,p)
exbert1_cdf.m - compute an EXBERT Correlation Cumulative Distribution Function.
-
exbert1_pdf(n, nn, rho, p)
exbert1_pdf.m - evaluates an EXBERT Correlation Probability Density.
-
exbert2_cdf(n,nn,a,p)
exbert2_cdf.m - compute an EXBERT Power Cumulative Distribution Function.
-
exbert2_pdf(n, nn, a, p)
exbert2_pdf.m - evaluates an EXBERT Power Probability Density.
-
exbert3_cdf(n,nn,alpha,bet)
exbert3_cdf.m - compute an EXBERT Model 3 Cumulative Distribution Function.
-
exbert3_pdf(n, nn, alpha, bet...
exbert3_pdf.m - evaluates an EXBERT Model 3 Probability Density.
-
exbert4_cdf(n,nn,bet)
exbert4_cdf.m - compute an EXBERT George & Bowman Cumulative Distribution Function.
-
exbert4_pdf(n, nn, bet)
exbert4_pdf.m - evaluates an EXBERT George & Bowman Probability Density.
-
exp_cdf(x,mu)
test_cdf.m - evaluates an Exponential Cumulative Distribution.
-
exp_pdf(x, mu)
test_pdf.m - evaluates an Exponential Probability Density.
-
expexp_cdf(x,alpha,lambda)
expexp_cdf.m - compute Exponentiated Exponential Cumulative Distribution Function.
-
expexp_pdf(x, alpha, lambda)
expexp_pdf.m - evaluates an Exponentiated Exponential Probaility Density.
-
expfrechet_cdf(x, sigma, lamb...
expfrechet_cdf.m - evaluates an Exponentiated Frechet Cumulative Distribution.
-
expfrechet_pdf(x, sigma, lamb...
expfrechet_pdf.m - evaluates an Exponentiated Frechet Probability Density.
-
expgam_cdf(x, a, mu, alpha, b...
expgam_cdf.m - evaluates Eponential Gamma Mix Cumulative Distribution.
-
expgam_pdf(x, a, mu, alpha, b...
expgam_pdf.m - evaluates Exponential Gamma Mix Probability Density.
-
expgenbet_cdf(n, alpha, bet)
expgenbet_cdf.m - evaluates an Exponential Generalized Beta Cumulative Distribution.
-
expgenbet_pdf(n, alpha, bet)
expgenbet_pdf.m - evaluates an Exponential Generalized Beta Probability Density.
-
expgeom_cdf(x, c, s)
expgeom_cdf.m - evaluates an Exponential Geometric Cumulative Distribution.
-
expgeom_pdf(x, c, s)
expgeom_pdf.m - evaluates an Exponential Geometric Probability Density.
-
expinvgaus2_cdf.m
-
expinvgaus2_pdf.m
-
expinvgaus_cdf(x,lambda,gam,d...
expinvgaus_cdf.m - compute an Exponential Inverse Gaussian Cumulative Distribution Function.
-
expinvgaus_pdf(x, lambda, gam...
expinvgaus_pdf.m - evaluates an Exponential Inverse Gaussian Probability Density.
-
exppow_cdf(x, alpha, bet, mu)
exppow_cdf.m - evaluates a Cumulative Exponential Power-Distribution.
-
exppow_pdf(x, alpha, bet, mu)
exppow_pdf.m - evaluates an Exponential Power-Probability Density.
-
expweib_cdf(x, gam, theta, si...
expweib_cdf.m - compute Exponentiated Weibull Cumulative Distribution Function.
-
expweib_pdf(x, gam, theta, si...
expweib_pdf.m - evaluates an Exponentiated Weibull Probability Density.
-
ext1ev_cdf(x, rho, mu, p)
ext1ev_cdf.m - evaluates an Extended Type I Extreme Value Cumulative Distribution.
-
ext1ev_pdf(x, rho, mu, p)
ext1ev_pdf.m - evaluates an Extended Type I Extreme Value Probability Density.
-
extherm_cdf(n,m,a1,am)
extherm_cdf.m - compute an Exteneded Hermite Cumulative Distribution Function.
-
extherm_pdf(n, m, a1, am)
extherm_pdf.m - evaluates an Extended Hermite Probability Density.
-
exthyper_cdf(n,n1,n2,p1,p2,m)
exthyper_cdf.m - compute an Exteneded Hypergeometric Cumulative Distribution Function.
-
exthyper_pdf(n, n1, n2, p1, p...
exthyper_pdf.m - evaluates an Extended Hypergeometric Probability Density.
-
extlog_cdf(n,m,theta)
extlog_cdf.m - compute Extended Logarithmic Cumulative Distribution Function.
-
extlog_pdf(n, m, theta)
extlog_pdf.m - evaluates an Extended Logarithmic Probability Density.
-
extnegbin_cdf(n, m, theta, be...
extnegbin_cdf.m - compute Extended Negative Binomial Cumulative Distribution.
-
extnegbin_pdf(n, m, theta, be...
extnegbin_pdf.m - evaluates an Extended Negative Binomial Probability Density.
-
extpower_cdf(x, theta, c, lam...
extpower_cdf.m - compute an Exteneded Power Cumulative Distribution Function.
-
extpower_pdf(x, theta, c, lam...
extpower_pdf.m - evaluates an Extended Power Probability Density.
-
extstir1c_cdf(n, k, theta, ta...
extstir1c_cdf.m - compute an Extended Stirling 1C Cumulative Distribution Function.
-
extstir1c_pdf(n, k, theta, ta...
extstir1c_pdf.m - evaluates an Extended Stiling 1C Probability Density.
-
extstir1f_cdf(n, nn, theta, t...
extstir1f_cdf.m - compute an Exteneded Stirling 1F Cumulative Distribution Function.
-
extstir1f_pdf(n, nn, theta, t...
extstir1f_pdf.m - evaluates an Extended Stiling 1F Probability Density.
-
extstir1l_cdf(n, k, theta, ta...
extstir1l_cdf.m - compute an Exteneded Stirling 1L Cumulative Distribution Function.
-
extstir1l_pdf(n, k, theta, ta...
extstir1l_pdf.m - evaluates an Extended Stiling 1L Probability Density.
-
extstir1w_cdf(n, k, theta, ta...
extstir1w_cdf.m - compute an Exteneded Stirling 1W Cumulative Distribution Function.
-
extstir1w_pdf(n, k, theta, ta...
extstir1w_pdf.m - evaluates an Extended Stiling 1W Probability Density.
-
extstir2c_cdf(n, k, m, tau)
extstir2c_cdf.m - compute an Exteneded Stirling 2C Cumulative Distribution Function.
-
extstir2c_pdf(n, k, m, tau)
extstir2c_pdf.m - evaluates an Extended Stiling 2C Probability Density.
-
extstir2f_cdf(n, nn, m, tau)
extstir2f_cdf.m - compute an Exteneded Stirling 2F Cumulative Distribution Function.
-
extstir2f_pdf(n, nn, m, tau)
extstir2f_pdf.m - evaluates an Extended Stiling 2F Probability Density.
-
extstir2l_cdf(n, k, theta, ta...
extstir2l_cdf.m - compute an Exteneded Stirling 2L Cumulative Distribution Function.
-
extstir2l_pdf(n, k, theta, ta...
extstir2l_pdf.m - evaluates an Extended Stiling 2L Probability Density.
-
extstir2w_cdf(n, k, m, tau)
extstir2w_cdf.m - compute an Exteneded Stirling 2W Cumulative Distribution Function.
-
extstir2w_pdf(n, k, m, tau)
extstir2w_pdf.m - evaluates an Extended Stiling 2W Probability Density.
-
f_cdf(x,v1,v2);
FCDF F cumulative distribution function.
-
f_pdf(x,v1,v2)
FPDF F probability density function.
-
factmult_cdf(n, sp1, nn, N)
factmult_cdf.m - compute Factorial Multinomial Cumulative Distribution Function.
-
factmult_pdf(n, sp1, nn, N)
factmult_pdf.m - tests a Factorial Multinomial Distribution
-
factorial(n)
FACTORIAL Factorial function.
-
factorial_cdf(n, nn)
factorial_cdf.m - evaluates a Factorial Cumulative Distribution.
-
factorial_pdf(n, nn)
factorial_pdf.m - evaluates a Factorial Probability Density.
-
famhist_cdf(n,nn,p,pp)
famhist_cdf.m - compute Family History (Yu & Zelterman) Cumulative Distribution Function.
-
famhist_pdf(n, nn, p, pp)
famhist_pdf.m - evaluates a Family History (Yu & Zelterman) Probability Density.
-
fatlife_cdf(x, gam, mu, bet)
fatlife_cdf.m - evaluates a Cumulative Fatigue Life Probability Distribution.
-
fatlife_pdf(x, gam, mu, bet)
fatlife_pdf.m - evaluates a Fatigue Life Probability Density Function.
-
felix_cdf(n,lambda)
felix_cdf.m - compute Felix Cumulative Distribution Function.
-
felix_pdf(n, lambda)
felix_pdf.m - evaluates a Felix Probability Density.
-
fellpar_cdf(x, alpha, bet)
fellpar_cdf.m - evaluates a Feller Pareto Cumulative Distribution.
-
fellpar_pdf(x, alpha, bet)
fellpar_pdf.m - evaluates a Feller Pareto Probability Density.
-
fermdir_cdf(n, b, c)
fermdir_cdf.m - compute Fermi Dirac Counting Cumulative Distribution Function.
-
fermdir_pdf(n, b, c)
fermdir_pdf.m - evaluates a Fermi Dirac Counting Probability Density.
-
fermi_cdf(x,s,mu)
fermi_cdf.m - compute Fermi-Dirac Cumulative Distribution Function.
-
fermi_pdf(x,s,mu)
fermi_pdf.m - compute Fermi-Dirac Probability Density Function.
-
ferreri_cdf(x, a, b, c, mu)
ferreri_cdf.m - compute Ferreri Cumulative Distribution Function.
-
ferreri_pdf(x, a, b, c, mu)
ferreri_pdf.m - compute Ferreri Probability Density Function.
-
findcmax(d_indx,distrib,p_val...
findcmax.m - find maximum allowed value for 'c' such that all values of
-
fisher_cdf(x,rho2,n,k)
fisher_cdf.m - compute a Fisher Cumulative Distribution Function.
-
fisher_pdf(x, rho2, n, k)
fisher_pdf.m - evaluates a Fisher Probability Density.
-
fishtip_cdf(x, a, omega, bet)
fishtip_cdf.m - evaluates a Fisher Tippett Cumulative Distribution.
-
fishtip_pdf(x, a, omega, bet)
fishtip_pdf.m - evaluates a Fisher Tippett Probability Density.
-
fleh1_cdf(x, a, b)
fleh1_cdf.m - evaluates a Flehinger and Lewis Cumulative Distribuiton.
-
fleh1_pdf(x, a, b)
fleh1_pdf.m - evaluates a Flehinger and Lewis Probability Density.
-
fleh2_cdf(x, a, c)
fleh2_cdf.m - evaluates a Flehinger and Lewis 2 Cumulative Distribuiton.
-
fleh2_pdf(x, a, c)
fleh2_pdf.m - evaluates a Flehinger and Lewis Probability Density.
-
flehlew1_cdf(x,a,b)
flehlew1_cdf.m - compute a Fisher Cumulative Distribution Function.
-
flimit_cdf(x, alpha)
flimit_cdf.m - evaluates an F Limit Cumulative Distribution.
-
flimit_pdf(x, alpha)
flimit_pdf.m - evaluates an F Limit Probability Density.
-
fmax_cdf(x, nu, k)
fmax_cdf.m - evaluates an F Maximum Cumulative Distribution.
-
fmax_pdf(x, nu, k)
fmax_pdf.m - evaluates an F Maximum Probability Density.
-
fmix_cdf(x,nn,p,nu1,nu2)
fmix_cdf.m - compute binomial Mixture of F Cumulative Distribution Functions.
-
fmix_pdf(x, nn, p, nu1, nu2)
fmix_pdf.m - evaluates a Binomial Mixture of a F Probability Density.
-
foldstud_cdf(x, nu)
foldstud_cdf.m - evaluates a Folded Student T Cumulative Distribution.
-
foldstud_pdf(x, nu)
foldstud_pdf.m - evaluates a Folded Student T Probability Density.
-
formel2_cdf(n,theta,q,k)
formel2_cdf.m - compute a Formel II Cumulative Distribution Function.
-
formel2_pdf(n, theta, q, k)
formel2_pdf.m - evaluates a Formel II Probability Density.
-
frechet_cdf(x, gamma, beta, m...
frechet_cdf.m - evaluates a Cumulative (Frechet) Extreme Value II Distribution.
-
frechet_max_cdf(x, gam, bet, ...
frechet_max_cdf.m - evaluates a Cumulative (Frechet) Extreme Value II Distribution, max order..
-
frechet_max_pdf(x, gam, bet, ...
frechet_max_pdf.m - evaluates an Extreme Value 2 (Frechet) Probability Density, max order.
-
frechet_min_cdf(x, gam, bet, ...
frechet_min_cdf.m - evaluates a Cumulative (Frechet) Extreme Value II Distribution, min order.
-
frechet_min_pdf(x, gam, bet, ...
frechet_min_pdf.m - evaluates an Extreme Value 2 (Frechet) Probability Density, min order.
-
frechet_pdf(x, gamma, beta, m...
frechet_pdf.m - evaluates an Extreme Value 2 (Frechet) Probability Density.
-
frechvbm_cdf(n, N, a, m)
gfrechvbm_cdf.m - compute a Frechet Visibility Bias Model Cumulative Distribution Function.
-
frechvbm_pdf(n, N, a, m)
frechvbm_pdf.m - evaluates a Frechet Visibility Bias Model Probability Density.
-
fstat_cdf(x, r, nmk)
fstat_cdf.m - evaluates a F-Statistic Cumulative Distribution.
-
fstat_pdf(x, r, nmk)
fstat_pdf.m - evaluates a F-Statistic Probability Density.
-
func(theta,a,b)
-
fvp_cdf(x)
fvp_cdf.m - compute a Fejer-de la Vallee Pousin Cumulative Distribution.
-
fvp_pdf(x)
fvp_pdf.m - compute a Fejer-de la Vallee Pousin Probability Density.
-
gamma(x,a)
GAMMA Gamma function.
-
gamma_cdf_mat(x,a,m,b)
GAMMA_CDF Gamma cumulative distribution function.
-
gamma_pdf(x,a,m,b)
GAMMA_PDF Gamma probability density function.
-
gammaln(x)
GAMMALN Logarithm of gamma function.
-
gamprod_cdf(x,a1,a2)
gamprod_cdf.m - compute Gamma Product Cumulative Distribution Function.
-
gamprod_pdf(x, a1, a2)
gamprod_pdf.m - evaluates a Gamma Product Probability Density.
-
gamwarn_cdf(x, a, d, m, p, nn...
gamwarn_cdf.m - compute Gamma Warning Time Cumulative Distribution Function.
-
gamwarn_pdf(x, a, d, m, p, nn...
gamwarn_pdf.m - evaluates a Gamma Warning Time Probability Density.
-
gandh_cdf(xv,p_value)
gandh_cdf.m - G and H Cumulative Distribution.
-
gaus1_ppf(xv, p_value);
gaus1_ppf.m - numerically estimate single-point Gaussian (normal) Point Percent Function.
-
gaus2_ppf(xv, p_value);
gaus2_ppf.m - numerically estimate Vector Gaussian (normal) Point Percent Function.
-
gaus_cdf(x, m, sigma)
Gaus_cdf.m computes the gaussian CDF.
-
gaus_pdf(x, m, sigma)
Gaus_pdf.m is the gaussian PDF.
-
gaus_ppf(xv, p_value);
gaus_ppf.m - numerically estimate Gaussian (normal) Point Percent Function.
-
gaushyp_cdf(x,p,q,r,lambda)
gaushyp_cdf.m - compute Gauss Hypergeometric Cumulative Distribution Function.
-
gaushyp_pdf(x, p, q, r, lambd...
gaushyp_pdf.m - evaluates the Gaussian Hypergeometric Probability Density Function.
-
gauskuz_cdf(n)
gauskuz_cdf.m - evaluates a Gauss Kuzmin Cumulative Distribution.
-
gauskuz_pdf(n)
gauskuz_pdf.m - evaluates a Gauss Kuzmin Probability Density.
-
geeta_cdf(n, theta, m)
geeta_cdf.m - compute Hyperpoisson Cumulative Distribution Function.
-
geeta_pdf(n, theta, m)
geeta_pdf.m - evaluates a Geeta Probability Density.
-
gegen_cdf(n, rho, delta, l)
gegen_cdf.m - compute generalized Gegenbaur Cumulative Distribution Function.
-
gegen_pdf(n, rho, delta, l)
gegen_pdf.m - evaluates a Gegenbauer Probability Density.
-
gen_distrib(userin,rstart)
gen_distrib.m - generates random numbers from any of a wide variety of distributions
-
gen_distrib2(userin,rstart)
gen_distrib2.m - generates random numbers from any of a wide variety of distributions
-
genbeta2_cdf(x, a, b, gam)
genbeta2_cdf.m - evaluatess a Generalized Beta II Cumulative Distribution.
-
genbeta2_pdf(x, a, b, gam)
genbeta2_pdf.m - evaluatess a Generalized Beta II Probability Density.
-
genbeta3p_cdf(x,a1,a2,lambda)
genbeta3p_cdf.m - compute Generalized beta 3-Parameter Cumulative Distribution Function.
-
genbeta3p_pdf(x, a1, a2, lamb...
genbeta3p_pdf.m - tests a Generalized beta 3-Parameter Probability Density.
-
genbeta4p_cdf(x, a, b, c, d)
genbeta4p_cdf.m - evaluates a Generalized Beta 4-Parameter Cumulative Distribution.
-
genbeta4p_pdf(x, a, b, c, d)
genbeta4p_pdf.m - evaluates a Generalized Beta 4-Parameter Probability Density.
-
genbeta_cdf(x,a,b,c,p,q)
genbeta_cdf.m - compute Generalized Beta Cumulative Distribution Function.
-
genbeta_pdf(x, a, b, c, p, q)
genbeta_pdf.m - evaluates a Generalized Beta Probability Density.
-
genbinom_cdf(n,p,r,s)
genbinom_cdf.m - compute a Generalized Binomial Cumulative Distribution Function.
-
genbinom_pdf(n, p, s, r)
genbinom_pdf.m - evaluates a Generalized Binomial Probability Density.
-
gencauch2_cdf(x,lambda,k,h,th...
gencauch2_cdf.m - compute Generalized Cauchy 2 Cumulative Distribution Function.
-
gencauch2_pdf(x, lambda, k, h...
gencauch2_pdf.m - evaluates a Generalized Cauchy 2 Probability Density.
-
gencauchy_cdf(x,a)
gencauchy_cdf.m - evaluates a Generalized Cauchy Cumulative Distribution.
-
gencauchy_pdf(x, a)
gencauchy_pdf.m - evaluates a Generalized Cauchy Probability Density.
-
generate_chernoff_pdf()
generate_chernoff_pdf.m - generates a Chernoff Probability Density
-
generr_cdf(x, nu, mu, sigma)
generr_cdf.m - compute Generalized Error Cumulative Distribution Function.
-
generr_pdf(x, nu, mu, sigma)
generr_pdf.m - evaluates a Generalized Error Probability Density.
-
geneuler_cdf(n,q,a,lambda)
geneuler_cdf.m - compute a Generalized Euler Cumulative Distribution Function.
-
geneuler_pdf(n, q, a, lambda)
geneuler_pdf.m - evaluates a Generalized Euler Probability Density.
-
genexp_cdf(x, lambda1, lambda...
genexp_cdf.m - compute Generalized Exponential Cumulative Distribution Function.
-
genexp_pdf(x, lambda1, lambda...
genexp_pdf.m - evaluates a Generalized Exponential Probability Density.
-
genf_cdf(x,a, p, q)
genf_cdf.m - compute Generalized F Cumulative Distribution Function.
-
genf_pdf(x, a, p, q)
genf_pdf.m - evaluates a Generalized F Probability Density.
-
genfishtip_cdf(x,a,omega,bet,...
genfishtip_cdf.m - compute Generalized Fisher Tippett Cumulative Distribution Function.
-
genfishtip_pdf(x, a, omega, b...
genfishtip_pdf.m - evaluates a Generalized Fisher Tippett Probability Density.
-
genfrech_cdf(x, a, omega, nn,...
genfrech_cdf.m - evaluates a Generalized Frechet Cumulative Distribution.
-
genfrech_pdf(x, a, omega, nn,...
genfrech_pdf.m - evaluates a Generalized Frechet Probability Density.
-
gengam5p_cdf(x,t1,t2,t3,t4)
gengam5p_cdf.m - compute Generalized Gamma 5-Parameter Cumulative Distribution Function.
-
gengam5p_cdf(x,t1,t2,t3,t4)
gengam5p_cdf.m - compute Generalized Gamma 5-Parameter Cumulative Distribution Function.
-
gengam5p_pdf(x, t1, t2, t3, t...
gengam5p_pdf.m - evaluatess a Generalized Gamma 5-Parameter Probability Density.
-
gengam_cdf(x, k, c, a, b)
gengam_cdf.m - compute Generalized Gamma Cumulative Distribution Function.
-
gengam_pdf(x, k, c, a, b)
gengam_pdf.m - evaluates a Generalized Gamma Probability Density.
-
gengauss_cdf(x,mu,sigma,p)
gengauss_cdf.m - compute Generalized Gaussian Cumulative Distribution Function.
-
gengauss_pdf(x, mu, sigma, p)
gengauss_pdf.m - evaluates a Generalized Gaussian Probability Density.
-
gengegen_cdf(n, alpha, bet, l...
gengegen_cdf.m - compute generalized Gegenbaur Cumulative Distribution Function.
-
gengegen_pdf(n, alpha, bet, l...
gengegen_pdf.m - evaluates a generalized Gegenbauer Probability Density.
-
gengum_cdf(x, nn, lambda, u)
gengum_cdf.m - tests a Generalized Gumbel Cumulative Distribution.
-
gengum_pdf(x, nn, lambda, u)
gengum_pdf.m - tests a Generalized Gumbel Probability Density.
-
genherm(n, alpha, bet, m)
genherm.m - evaluates a Generalized Hermite Polynomial (Gupta-Jain).
-
genherm_cdf(n, alpha, bet, m)
genherm_cdf.m - compute Generalized Hermite Cumulative Distribution Function.
-
genherm_pdf(n, alpha, bet, m)
genherm_pdf.m - evaluates a Generalized Hermite (Gupta-Jain) Probability Density.
-
genhlog_cdf(x, odk)
genhlog_cdf.m - evaluates a Generalized Half Logistic Cumulative Distribution.
-
genhlog_pdf(x, odk)
genhlog_pdf.m - evaluates a Generalized Half Logistic Probability Density.
-
genhyp_cdf(x, lambda, alpha, ...
genhyp_cdf.m - evaluates a Cumulative Generalized Hyperbolic Distribution.
-
genhyp_pdf(x, lambda, alpha, ...
genhyp_pdf.m - evaluates a Generalized Hyperbolic Probability Density.
-
genhypfac_cdf(n, N, a, m)
genhypfac_cdf.m - evaluates a Generalized Hypergeometric Factorial Cumulative Distribution.
-
genhypfac_pdf(n, N, a, m)
genhypfac_pdf.m - evaluates a Generalized Hypergeometric Factorial Probability Density.
-
geninvneghyp_cdf(n,r,a,b,c,t)
geninvneghyp_cdf.m - compute Generalized Inverse Negative
-
geninvneghyp_pdf(n, r, a, b, ...
geninvneghyp_pdf.m - evaluates an Generalized Inverse Negative
-
geninvnorm_cdf(x,alpha,mu,tau...
geninvnorm_cdf.m - compute Generalized Inverse Normal Cumulative Distribution Function.
-
geninvnorm_pdf(x, alpha, mu, ...
geninvnorm_pdf.m - evaluates a Generalized Invesre Normal Probability Density.
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geninvtri_cdf(n,nn,p1,p2,p3,p...
geninvtri_cdf.m - compute Generalized Inverse Trinomial Cumulative Distribution Function.
-
geninvtri_pdf(n, nn, p1, p2, ...
geninvtri_pdf.m - evaluates a Generalized Inverse Trinomial Probability Density.
-
genk_cdf(x,alpha,eta,nu)
genk_cdf.m - compute Generalized K Cumulative Distribution Function.
-
genk_pdf(x, alpha, eta, nu)
genk_pdf.m - evaluates a Generalized K Probability Density.
-
genlagkatz_cdf(n, bet, b, c)
genlagkatz_cdf.m - compute Generalized Lagrangian Katz Cumulative Distribution Function.
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genlagkatz_pdf(n, bet, b, c)
genlagkatz_pdf.m - evaluates a Generalized Lagrangian Katz Probability Density.
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genlam_cdf(xv,p_value)
genlam_cdf.m - Tukey's Generalized Lambda Cumulative Distribution Function.
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genlapldif_cdf(x, mu, lambda,...
genlapldif_cdf.m - evaluates a Generalized Laplace Difference Cumulative Distribution.
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genlapldif_pdf(x, mu, lambda,...
genlapldif_pdf.m - evaluates a Generalized Laplace Difference Probability Density.
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genlaplsum_cdf(x, mu, lambda,...
genlaplsum_cdf.m - evaluates a Generalized Laplace Sum Cumulative Distribution.
-
genlaplsum_pdf(x, mu, lambda,...
genlaplsum_pdf.m - evaluates a Generalized Laplace Sum Probability Density.
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genlog2_cdf(x, b)
genlog2_cdf.m - evaluates a Generalized Logistic Type II Cumulative Distribution.
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genlog2_pdf(x, b)
genlog2_pdf.m - evaluates a Generalized Logistic Type-II Probability Density.
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genlog3_cdf(x,b)
genlog3_cdf.m - compute Generalized Logistic Type-III Cumulative Distribution Function.
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genlog3_pdf(x, b)
genlog3_pdf.m - evaluates a Generalized Logistic Type-III Probability Density.
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genlog4_cdf(x,p,q)
genlog4_cdf.m - compute Generalized Logistic Type-IV Cumulative Distribution Function.
-
genlog4_pdf(x,p,q)
genlog4_pdf.m - evaluates a Generalized Logistic Type-IV Probability Density.
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genlog5_cdf(x, alpha)
genlog5_cdf.m - evaluates a Generalized Logistic Type II Cumulative Distribution.
-
genlog5_pdf(x, alpha)
genlog5_pdf.m - evaluates a Generalized Logistic Type-II Probability Density.
-
genlog_cdf(x, alpha, mu, sigm...
genlog_cdf.m - evaluates a Cumulative Generalized Logistic Distribution.
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genlog_pdf(x, alpha, mu, sigm...
genlog_pdf.m - evaluates a Generalized Logistic Probability Density.
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genlogis_cdf(x, rho, mu, phi,...
apd_cdf.m - compute Generalized Logistic Cumulative Distribution Function.
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genlogis_pdf(x, rho, mu, phi,...
genlogis_pdf.m - evaluates a Generalized Logistic Probability Density.
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genlogn_cdf(x,tau,sigma,mu)
genlogn_cdf.m - compute Generalized Lognormal Distribution Function.
-
genlogn_pdf(x, tau, sigma, mu...
genlogn_pdf.m - evaluates a Generalized Lognormal Probability Density.
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genlogser_cdf(n, b, p)
genlogser_cdf.m - compute Generalized Logarithmic Series Cumulative Distribution Function.
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genlogser_pdf(n, b, p)
genlogser_pdf.m - evaluates a Matching Probability Density.
-
genmarpol_cdf(n,rho,r,s,N)
genmarpol_cdf.m - compute Generalized Markov-Polya Cumulative Distribution Function.
-
genmarpol_pdf(n, rho, r, s, N...
genmarpol_pdf.m - evaluates a Generalized Markov-Polya Probability Density.
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genmax_cdf(x,alpha,bet,n)
apd_cdf.m - compute Asymmetric Power Cumulative Distribution Function.
-
genmax_pdf(x, alpha, bet, n)
genmax_pdf.m - evaluates a Generalized Maxwellian (Druyvesteyn) Probability Density.
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genmuth_cdf(x, bet, loc, scal...
genmuth_cdf.m - evaluates a Generalized Muth Cumulative Distribution.
-
genmuth_pdf(x, bet, loc, scal...
genmuth_pdf.m - evaluates a Generalized Muth Probability Density.
-
gennakag_cdf(x,s,m,omega)
gennakag_cdf.m - compute Generalized Nakagami Cumulative Distribution Function.
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gennakag_pdf(x, s, m, omega)
gennakag_pdf.m - evaluates a Generalized Nakagami Probability Density.
-
gennegbin_cdf(n, alphat, bet,...
gennegbin_cdf.m - compute a Generalized Negative Binomial Cumulative Distribution Function.
-
gennegbin_pdf(n, alphat, bet,...
gennegbin_pdf.m - evaluates a Generalized Negative Binomial Probability Density.
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genneghyp_cdf(n,N,a,b,c,t)
genneghyp_cdf.m - compute Generalized Negative Hypergeometric Cumulative Distribution Function.
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genneghyp_pdf(n, N, a, b, c, ...
genneghyp_pdf.m - evaluates a Generalized Negative Hypergeometric Probability Density.
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genneyman_cdf(n, alpha, bet, ...
genneyman_cdf.m - compute Generalized Neyman A Cumulative Distribution Function.
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genneyman_pdf(n, alpha, bet, ...
genneyman_pdf.m - evaluates a Generalized Neyman Type A Probability Density.
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genpar2_cdf(x,bet,xi,K)
genpar2_cdf.m - compute Generalized Pareto II Cumulative Distribution Function.
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genpar2_pdf(x, bet, xi, K)
genpar2_pdf.m - evaluates a Generalized Pareto II Probability Density.
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genpar_cdf(x, gam, bet)
genpar_cdf.m - evaluates a Cumulative Generalized Pareto Distribution.
-
genpar_pdf(x, gam, bet)
genpar_pdf.m - evaluates a Generalized Pareto Probability Density.
-
genpears7_cdf(x,m,c,xi)
-
genpears7_pdf(x, m, c, xi)
genpears7_pdf.m - evaluates the Generalized Pearson 7 Probability Density.
-
genpoisdif_cdf(n,theta1,theta...
genpoisdif_cdf.m - compute Generalized Poisson Difference Cumulative Distribution Function.
-
genpoisdif_pdf(n, theta1, the...
genpoisdif_pdf.m - evaluates a Generalized Poisson Difference Probability Density.
-
genpoiss_cdf(n, theta, lambda...
genpoiss_cdf.m - compute Generaized Poisson Cumulative Distribution Function.
-
genpoiss_pdf(n, theta, lambda...
genpoiss_pdf.m - evaluates a Generalized Poisson Probability Density.
-
genray_cdf(x, k, theta)
genray_cdf.m - evaluates a Generalized Rayleigh Cumulative Distribution.
-
genray_pdf(x, k, theta)
genray_pdf.m - evaluates a generalize Rayleigh Probability Density.
-
gensech_cdf(x,rho,theta)
gensech_cdf.m - compute Generalized Hyperbolic Secant Cumulative Distribution Function.
-
gensech_pdf(x, rho, theta)
gensech_pdf.m - evaluates a Generalized Hyperbolic Secant Probability Density.
-
genstud_cdf(x,sigma,k,p,theta...
genstud_cdf.m - evaluates a Generalized Student Cumulative Distribution.
-
genstud_pdf(x, sigma, k, p, t...
genstud_pdf.m - evaluates a Generalized Student Probability Density.
-
gent2_cdf(x,p,q)
-
gent2_pdf(x, p, q)
gent2_pdf.m - evaluates the Generalized T Probability Density.
-
gent_cdf(x,sigma,p,q)
gent_cdf.m - compute Generalized T Cumulative Distribution Function.
-
gent_pdf(x, sigma, p, q)
gent_pdf.m - evaluates a Generalized T Probability Density.
-
gentopleo_cdf(x, alpha, bet, ...
gentopleo_cdf.m - tests a Generalized Topp & Leone Cumulative Distribution.
-
gentopleo_pdf(x, alpha, bet, ...
gentopleo.m - tests a Generalized Topp & Leone Probability Density.
-
genunif_cdf(x,k,c,h,a)
-
genunif_pdf(x, k, c, h, a)
genunif_pdf.m - evaluates the Generalized Uniform Probability Density.
-
genurn_cdf(n,nn,w,b,c)
genurn_cdf.m - compute General URN Cumulative Distribution Function.
-
genurn_pdf(n, nn, w, b, c)
genurn_pdf.m - evaluates a General URN Probability Density.
-
genwar_cdf(n,a,b,alpha)
genwar_cdf.m - compute a Generalized Waring Cumulative Distribution Function.
-
genwar_pdf(n, a, b, alpha)
genwar_pdf.m - evaluates a Generalized Waring Probability Density.
-
genweib_cdf(x, a, omega, nn, ...
genweib_cdf.m - evaluates a Generalized Weibull Cumulative Distribution.
-
genweib_pdf(x, a, omega, nn, ...
genweib_pdf.m - evaluates a Generalized Weibull Probability Density.
-
genxval_cdf(x, gam, mu, sigma...
genxval_cdf.m - evaluates a Cumulative Generalized Extreme Value Distribution.
-
genxval_pdf(x, gam, mu, sigma...
genxval_pdf.m - evaluates a Generalized Extreme Value Probability Density.
-
genyule2_cdf(n, alpha, bet, g...
genyule2_cdf.m - compute a Generalized Yule Cumulative Distribution Function.
-
genyule2_pdf(n, alpha, bet, g...
genyule2_pdf.m - evaluates a Generalized Yule Probability Density.
-
genyule_cdf(n, lambda)
genyule_cdf.m - evaluates a Generalized Yule Cumulative Distribution.
-
genyule_pdf(n, lambda)
genyule_pdf.m - evaluates a Generalized Yule Probability Density.
-
geometric_cdf(x,p)
GEOMETRIC_CDF Geometric cumulative distribution function.
-
geometric_pdf(x,p)
GEOMETRIC_PDF Geometric probability density function (pdf).
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geomordk_cdf(n,k,p)
geomordk_cdf.m - compute Geometric Order k Cumulative Distribution Function.
-
geomordk_pdf(n, k, p)
geomordk_pdf.m - evaluates a Geometric Order K Probability denisity.
-
geompois_cdf(n, lambda, theta...
geompois_cdf.m - compute Geometric Poisson Cumulative Distribution Function.
-
geompois_pdf(n, lambda, theta...
geompois_pdf.m - evaluates a Geometric Poisson Probability Density.
-
geoxexp_cdf(x, gam)
geoxexp_cdf.m - evaluates a Cumulative Geometric Extreme Exponential Distribution.
-
geoxexp_pdf(x, gam)
geoxexp_pdf.m - evaluates a Geometric Extreme Exponential Probability Density.
-
ggsd_cdf(n, alpha, bet)
ggsd_cdf.m - evaluates a Generalized Geometric Series Distribution Cumulative Distribution.
-
ggsd_pdf(n, alpha, bet)
ggsd_pdf.m - evaluates a Generalized Geometric Series Distribution Probability Density.
-
ghfd_cdf(n, theta, alpha, bet...
ghfd_cdf.m - compute a Generalized Hypergeometric Factorial Moment Cumulative Distribution Function.
-
ghfd_pdf(n, theta, alpha, bet...
ghfd_pdf.m - evaluates a Generalized Hypergeometric Factorial Moment Probability Density.
-
ghgb3_cdf(n, a, b, c)
ghgb3_cdf.m - compute Generalized Hypergeometric GHgB3 Cumulative Distribution Function.
-
ghgb3_pdf(n, a, b, c)
ghgb3_pdf.m - evaluates a Generalized Hypergeometric GHgB3 Probability Density.
-
gig_cdf(x,a,b,p)
gig_cdf.m - compute Generalized Inverse Gaussian Cumulative Distribution Function.
-
gig_pdf(x, a, b, p)
gig_pdf.m - evaluates a Generalized Inverse Gaussian Probability Density.
-
git8_cdf(n, nn, p, q)
git8_cdf.m - compute Generalized Inverse Trinomial 8 Cumulative Distribution Function.
-
git8_pdf(n, nn, p, q)
git8_pdf.m - evaluates an Generalized Inverse Trinomial 8 Probability Density.
-
glostgame_cdf(n, p, j, a)
glostgame_cdf.m - compute Generalized Lost Games Cumulative Distribution Function.
-
glostgame_pdf(n, p, j, a)
glostgame_pdf.m - evaluates a Lost Game Probability Density.
-
gmllim(p,b)
-
gomper_cdf(x, c, b)
gomper_cdf.m - evaluates a Cumulative Gompertz Distribution.
-
gomper_pdf(x, c, b)
gomper_pdf.m - evaluates a Gompertz Probability Density.
-
good2_cdf(n,q,ups)
good_cdf.m - compute Good 2 Cumulative Distribution Function.
-
good2_pdf(n, q, ups)
good2_pdf.m - evaluates a Good 2 Probability denisity.
-
good_cdf(n,q,eta)
good_cdf.m - compute Good Cumulative Distribution Function.
-
good_pdf(n, q, eta)
good_pdf.m - evaluates a Good Probability denisity.
-
greenwich_cdf(x, a, b)
greenwich_cdf.m - evaluates a Greenwich Cumulative Distribuiton.
-
greenwich_pdf(x, a, b)
greenwich_pdf.m - evaluates a Greenwich Probability Density.
-
gumbel_cdf(x,r)
gumbel_cdf.m - compute Gumbel Cumulative Distribution Function.
-
gumbel_pdf(x, r)
gumbel_pdf.m - evaluates a Gumbel Power Probability Density.
-
gummax_cdf(x, bet, mu)
gummax_cdf.m - evaluates a Cumulative of the (Gumbel) Maximum Order Extreme Value I distribution Distribution.
-
gummax_pdf(x, bet, mu)
gummax_pdf.m - evaluates a (Gumbel) Maximum Order Extreme Value I distribution Probability Density.
-
gummin_cdf(x, bet, mu)
gummin_cdf.m - evaluates a Cumulative of the (Gumbel) Minimum Order Extreme Value I distribution Distribution.
-
gummin_pdf(x, bet, mu)
gummin_pdf.m - evaluates a (Gumbel) Minimum Order Extreme Value I distribution Probability Density.
-
gurland_cdf(n,k,alpha,bet,the...
gurland_cdf.m - compute Gurland H2 Cumulative Distribution Function.
-
gurland_pdf(n, k, alpha, bet,...
gurland_pdf.m - evaluates a Gurland H2 Probability denisity.
-
gurwich_cdf(x, alpha, bet)
gurwich_cdf.m - evaluates a Gurwich Weibull Cumulative Distribution.
-
gurwich_pdf(x, alpha, bet)
gurwich_pdf.m - evaluates a Gurwich Weibull Probability Density.
-
h=smooth_diff(n)
A smoothed differentiation filter (digital differentiator).
-
h=smooth_diff(n)
A smoothed differentiation filter (digital differentiator).
-
haight_pdf(n, nn, alpha)
haigh_pdft.m - evaluates a Haight Probability Density.
-
haight_pdf(n, nn, alpha)
haigh_pdft.m - evaluates a Haight Probability Density.
-
haighthar_cdf(n,Z2)
haighthar_cdf.m - compute Haight's Harmonic Cumulative Distribution Function.
-
haighthar_pdf(n, Z2)
haighthar_pdf.m - evaluates a Haight's Harmonic Probability denisity.
-
haightz_cdf(n, alpha)
haightz_cdf.m - compute Haight's Zeta Cumulative Distribution Function.
-
haightz_pdf(n, alpha)
haightz_pdf.m - evaluates a Haight's Zeta Probability Density.
-
halflog_cdf(x, sigma, mu)
logistic_cdf.m - compute Logistic Cumulative Distribution Function.
-
halflog_pdf(x, sigma, mu)
halflog_pdf.m - evaluates a Half Logistic Probability Density.
-
hall_cdf(x,theta,gama)
hall_cdf.m - compute Hall Cumulative Distribution Function.
-
hall_pdf(x, theta, gama)
hall_pdf.m - evaluates a Hall Probability Density.
-
hansmann_cdf(x,u2,u4,u6,u8)
hansmann_cdf.m - compute Hansmann Cumulative Distribution Function.
-
hansmann_pdf(x, u2, u4, u6, u...
Hansmann_pdf.m - evaluates a Hansmann Probability Density.
-
hari_cdf(n, p)
hari_cdf.m - compute Hari Cumulative Distribution Function.
-
hari_pdf(n, p)
hari_pdf.m - evaluates a Hari Probability Density.
-
harris_cdf(n, k, m)
harris_cdf.m - compute Harris Cumulative Distribution Function.
-
harris_pdf(n, k, m)
harris_pdf.m - evaluates a Harris Probability Density.
-
hcauchy_cdf(x, sigma, mu)
hcauchy_cdf.m - evaluates a Half Cauchy Cumulative Distribution.
-
hcauchy_pdf(x, sigma, mu)
hcauchy_pdf.m - evaluates a Half Cauchy Probability Density.
-
headmtail_cdf(n, nn)
headmtail_cdf.m - compute Heads-Minus-Tails Cumulative Distribution Function.
-
headmtail_pdf(n, nn)
headmtail_pdf.m - evaluates a Heads-Minus-Tails Probability Density.
-
heine_cdf(n,eta,q)
heiner_cdf.m - compute Haight's Harmonic Cumulative Distribution Function.
-
heine_pdf(n, eta, q)
heine_pdf.m - evaluates a Heine Probability denisity.
-
hermite_cdf(n, alpha, bet)
hermite_cdf.m - compute Hermite Cumulative Distribution Function.
-
hermite_pdf(n, alpha, bet)
hermite_pdf.m - evaluates a Hermite Probability Density.
-
hist(y,x)
HIST Histogram.
-
hjorth_cdf(x,m,s,f)
hjorth_cdf.m - compute Hojorth Cumulative Distribution Function.
-
hjorth_pdf(x,m,s,f)
Hjorth_pdf.m - evaluates a Hjorth Probability Density.
-
hnormal_cdf(x, sigma, mu)
hnormal_cdf.m - evaluates a Half Normal Cumulative Distribution.
-
hnormal_pdf(x, sigma, mu)
hnormal_pdf.m - evaluates a Half Normal Probability Density.
-
hofmann_cdf(n, a, p, c, t)
hofmann_cdf.m - compute Hofmann Cumulative Distribution Function.
-
hofmann_pdf(n, a, p, c, t)
hofmann_pdf.m - evaluates a Hofmann Probability Density.
-
holla_cdf(n, mu, lambda)
holla_cdf.m - compute Holla Cumulative Distribution Function.
-
holla_pdf(n, mu, lambda)
holla_pdf.m is the Holla Probability Density.
-
hoppe_cdf(n,N,a)
hoppe_cdf.m - compute a Hoppe's Urn Cumulative Distribution Function.
-
hoppe_pdf(n, N, a)
hoppe_pdf.m - evaluates a Hoppe's Urn Probability Density.
-
hosking_cdf(xv,p_value)
hosking_cdf.m - Hosking Cumulative Distribution Function.
-
hoskwal_cdf(x, c, k)
hoskwal_cdf.m - evaluates a Hosking & Wallis Generalized Pareto Cumulative Distribution.
-
hoskwal_pdf(x, c, k)
hoskwal_pdf.m - evaluates a Hosking & Wallis Generalized Pareto Probability Density.
-
hotel_cdf(x,n,rho)
hotel_cdf.m - compute Hotelling r Cumulative Distribution Function.
-
hotel_pdf(x, n, rho)
hotel_pdf.m - evaluates a Hotelling r Probability Density.
-
hurwitz_cdf(n, eta, ups)
hurwitz_cdf.m - evaluates a Hurwitz Cumulative Distribution.
-
hurwitz_pdf(n, eta, ups)
hurwitz_pdf.m - evaluates a Hurwitz Probability Density.
-
hyblognorm_cdf(x, alpha, bet,...
hyblognorm_cdf.m - compute Hybrid Lognormal Cumulative Distribution Function.
-
hyblognorm_pdf(x, alpha, bet,...
hyblognorm_pdf.m - evaluates a Hybrid Lognormal Probability Density.
-
hyge_cdf(x,m,k,n)
HYGE_CDF Hypergeometric cumulative distribution function.
-
hyge_pdf(x,m,k,n)
HYGE_PDF Hypergeometric probability density function.
-
hyperbola_cdf(x,alpha,bet)
hyperbola_cdf.m - evaluates a Hyperbola Cumulative Distribution.
-
hyperbola_pdf(x, alpha, bet)
hyperbola_pdf.m - evaluates a Hyperbola Probability Density.
-
hyperlog_cdf(n, lambda, bet)
hyperlog_cdf.m - evaluates a Hyperlogrithmic Cumulative Distribution.
-
hyperlog_pdf(n, lambda, bet)
hyperlog_pdf.m - evaluates a Hyperlogrithmic Probability Density.
-
hyperpois_cdf(n, theta, lambd...
hyperpois_cdf.m - compute Hyperpoisson Cumulative Distribution Function.
-
hyperpois_pdf(n, theta, lambd...
hyperpois_pdf.m - evaluates a Hyper-Poisson Probability Density.
-
hypnegbin_cdf(n, q, r, theta,...
hypnegbin_cdf.m - evaluates a Hyper-Negative Binomial Cumulative Distribution.
-
hypnegbin_pdf(n, q, r, theta,...
hypnegbin_pdf.m - evaluates a Hyper-Negative Binomial Probability Density.
-
hypoexp_cdf(x, lambda, mu)
hypoexp_cdf.m - test a Hypoexponential Cumulative Distribution.
-
hypoexp_pdf(x, lambda, mu)
hypoexp_pdf.m - test a Hypoexponential Probability Density.
-
i_partition_next ( n, ...
I_PARTITION_NEXT generates the partitions of an integer, one at a time.
-
i_partition_next2 ( n, npart,...
I_PARTITION_NEXT2 computes the partitions of the integer N one at a time.
-
igsr_cdf(x, a, b, c, d, mu)
igsr_cdf.m - compute Inverted Gamma Square Root Cumulative Distribution Function.
-
igsr_pdf(x, a, b, c, d, mu)
igsr_pdf.m - evaluates an Inverted Gamma Square Root Probability Density.
-
impinshyp2_pdf(n,N,k,D,p,pp)
impinshyp2_pdf.m - evaluates an Imperfect Inspection Hypergeometric Distribution.
-
impinshyp_cdf(n,N,k,D,p,pp)
impinshyp_cdf.m - compute Imperfect Inspection Hypergeometric Cumulative Distribution.
-
impinshyp_pdf(n,N,k,D,p,pp)
impinshyp_pdf.m - evaluates an Imperfect Inspection Hypergeometric Distribution.
-
interrupt_cdf(n,K,D,tau)
interrupt_cdf.m - evaluates an Interrupted Cumulative Distribution.
-
interrupt_pdf(n,K,D,tau)
interrupt_pdf.m - evaluates an Interrupted Probability Density Distribution.
-
invabsorp_cdf(n,q,k,m)
invabsorp_cdf.m - evaluatess an Inverse Ansorption Cumulative Distribution.
-
invabsorp_pdf(n,q,k,m)
invabsorp_pdf.m - evaluatess an Inverse Ansorption Probability Density.
-
invbin_cdf(n, rho,lambda)
invbin_cdf.m - compute the Iverse Binomial Cumulative Distribution Function.
-
invbin_pdf(n, rho, lambda)
invbin_pdf.m - evaluates an Inverse Binomial Probability Density.
-
invbinom_cdf(n, nn, p)
invbinom_cdf.m - compute Inverse Binomial Cumulative Distribution Function.
-
invbinom_pdf(n, nn, p)
invbinom_pdf.m - evaluates an Inverse Binomial Probability Density.
-
invchi_cdf(x,k)
invchisq_cdf.m - compute Inverse Chi Square Cumulative Distribution Function.
-
invchi_pdf(x, k)
invchi_pdf.m - evaluates a Inverse Chi Probability Density.
-
invchisq_cdf(x, nu)
inchisq_cdf.m - evaluates an Inverse Chi-Square Cumulative Distribution.
-
invchisq_pdf(x, nu)
invchisq_pdf.m - evaluates an Inverse Chi-Square Probability Density.
-
invexp_cdf(x, theta)
invexp_cdf.m - evaluates an Inverse Exponential Cumulative Distribution.
-
invexp_pdf(x, theta)
invexp_pdf.m - evaluates an Inverse Exponential Probability Density.
-
invfact_cdf(n, nn, c)
invfact_cdf.m - evaluates an Inverse Factorial Cumulative Distribution.
-
invfact_pdf(n, nn, c)
invfact_pdf.m - evaluates an Inverse Factorial Probability Density.
-
invgam_cdf(x,alpha,mu)
invgam_cdf.m - compute Inverse Gamma Cumulative Distribution Function.
-
invgam_pdf(x, alpha, mu)
invgam_pdf.m - evaluates an Inverse Gamma Probability Density.
-
invgamma_cdf(x,alpha,beta)
invgamma_cdf.m - compute Inverted Gamma Cumulative Distribution Function.
-
invgamma_pdf(x, alpha, bet)
invgamma_pdf.m - evaluates an Inverted Gamma Probability Density.
-
invgammix_cdf.m
-
invgammix_pdf.m
-
invgaus3p_cdf(x,mu,lambda,tsi...
ingaus3p_cdf.m - compute 3-Paramater Inverse Gaussian Cumulative Distribution Function.
-
invgaus3p_pdf(x, mu, lambda, ...
invgaus3p_pdf.m - evaluatess a 3-Parameter Inverse Gaussian Probability Density.
-
invgaus_cdf(x, gam, mu)
invgaus_cdf.m - evaluates a Cumulative Inverse Gaussian Distribution.
-
invgaus_pdf(x, gam, mu)
invgaus_pdf.m - evaluates an Inverse Gauusian Probability Density.
-
invgausmix_pdf(x, mu, sigma, ...
invgausmix_pdf.m - evaluates an Inverse Gaussian Mixture Probability Density.
-
invgauweib_cdf(x, p, lambda, ...
invgauweib_cdf.m - evaluates an Inverse Gaussian Weibull Cumulative Distribution.
-
invgauweib_pdf(x, p, lambda, ...
invgauweib_pdf.m - evaluates an Inverse Gaussian Weibull Probability Density.
-
invgengam_cdf(x,a,bet,p)
invgengam_cdf.m - evaluates an Inverse Generalized Gamma Cumulative Distribution.
-
invgengam_pdf(x, a, bet, p)
invgengam_pdf.m - evaluates an Inverse Generalized Gamma Probability Density.
-
invhyper_cdf(n,N,Np,k)
impinshyp_cdf.m - compute Inverse Hypergeometric Cumulative Distribution.
-
invhyper_pdf(n,N,Np,k)
invhyper_pdf.m - evaluates an Inverse Hypergeometric Distribution.
-
invhypsin_cdf(x,mu,sigma,k,la...
invhypsin_cdf.m - compute Inverse Hyperbolic Sine Cumulative Distribution Function.
-
invhypsin_pdf(x, mu, sigma, k...
invhypsin_pdf.m - evaluatess an Inverse Hyperbolic Sine Probability Density.
-
invlomax_cdf(x,b,p)
invlomax_cdf.m - compute Inverse Lomax Cumulative Distribution Function.
-
invlomax_pdf(x, b, p)
invlomax_pdf.m - evaluates an Inverse Lomax Probability Density.
-
invpar_cdf(x,r,theta)
invpar_cdf.m - compute Inverse Pareto Cumulative Distribution Function.
-
invpar_pdf(x, r, theta)
invpar_pdf.m - evaluates an Inverse Pareto Probability Density.
-
invplogis_cdf(x,a,b)
invplogis_cdf.m - compute Inverse Paralogistic Cumulative Distribution Function.
-
invplogis_pdf(x, a, b)
invplogis_pdf.m - evaluates an Inverse Paralogistic Probability Density.
-
invpois_cdf(n,rho,theta)
invpois_cdf.m - evaluates an Intervened Poisson Cumulative Distribution.
-
invpois_pdf(n,rho,theta)
invpois_pdf.m - evaluates an Intervened Poisson Probability Density Distribution.
-
invpol_cdf(n,nn,s,b,w)
invpol_cdf.m - compute Inverse Polya Cumulative Distribution Function.
-
invpol_pdf(n,nn,s,b,w)
invpol_pdf.m - evaluates an Inverse Polya Probability Density.
-
invpolegg_cdf(n, nn, a, b, s)
invpolegg_cdf.m - evaluates an Inverse Polya Eggenberger Cumulative Distribution.
-
invpolegg_pdf(n, nn, a, b, s)
invpolegg_pdf.m - evaluates an Inverse Polya Eggenberger Probability Density.
-
invray_cdf(x, theta)
invray_cdf.m - evaluates an Inverse Rayleigh Cumulative Distribution.
-
invray_pdf(x, theta)
invray_pdf.m - evaluates an Inverse Rayleigh Probability Density.
-
invtrinom_cdf(n, nn, p, q)
invtrinom_cdf.m - compute Inverse Trinomial Cumulative Distribution Function.
-
invtrinom_pdf(n, nn, p, q)
invtrinom_pdf.m - evaluates an Inverse Trinomial Probability Density.
-
invweib_cdf(x, gam, mu, bet)
invweib_cdf.m - compute Inverted Weibull Cumulative Distribution Function.
-
invweib_pdf(x, gam, mu, bet)
invweib_pdf.m - evaluates an Inverted Weibull Probability Density.
-
ipbern_cdf(n,ppi,rho)
ipbern_cdf.m - compute Inflated-Parameter Geometric Cumulative Distribution Function.
-
ipbern_pdf(n, ppi, rho)
ipbern_pdf.m - evaluates an Inflated Parameter Geometric Probability Density.
-
ipbinom_cdf(n,ppi,rho,N)
ipbinom_cdf.m - evaluates an Inflated Parameter Binomial Cumulative Distribution.
-
ipbinom_pdf(n, ppi, rho, N)
ipbinom_pdf.m - evaluates an Inflated Parameter Binomial Probability denisity.
-
ipgeom_cdf(n,p,rho)
ipgeom_cdf.m - compute Inflated-Parameter Geometric Cumulative Distribution Function.
-
ipgeom_pdf(n, p, rho)
ipgeom_pdf.m - evaluates an Inflated Parameter Geometric Probability Density.
-
iplogser_cdf(n,ppi,rho)
iplogser_cdf.m - evaluates an Inflated Parameter Logarithmic Series Cumulative Distribution.
-
iplogser_pdf(n, ppi, rho)
iplogser_pdf.m - evaluates an Inflated Parameter Logarithmic Series Probability denisity.
-
ipnegbin_cdf(n,ppi,rho,r)
ipnegbin_cdf.m - evaluates an Inflated Parameter Negative Binomial Cumulative Distribution.
-
ipnegbin_pdf(n, ppi, rho, r)
ipnegbin_pdf.m - evaluates an Inflated Parameter Negative Binomial Probability denisity.
-
ippois_cdf(n,lambda,rho)
ippois_cdf.m - evaluates an Inflated Parameter Poisson Cumulative Distribution.
-
ippois_pdf(n, lambda, rho)
ippois_pdf.m - evaluates an Inflated Parameter Poisson Probability denisity.
-
irwinhall_cdf(x,a,k)
irwinhall_cdf.m - evaluates an Irwin Hall Cumulative Distribution.
-
irwinhall_pdf(x,a,k)
irwinhall_pdf.m - evaluates an Irwin Hall Probability Density Distribution.
-
johnsb_cdf(x, alpha1, alpha2)
johnsb_cdf.m - evaluates a Cumulative Johnson SB Distribution.
-
johnsb_pdf(x, alpha1, alpha2)
johnsb_pdf.m - evaluates a Johnson SB Probability Density.
-
johnsu_cdf(x, alpha1, alpha2)
johnsu_cdf.m - evaluates a Cumulative Johnson SU Distribution.
-
johnsu_pdf(x, alpha1, alpha2)
johnsu_pdf.m - evaluates a Johnson SU Probability Density.
-
jvp_cdf(x)
jvp_cdf.m - compute a Jackson-de la Vallee Pousin Cumulative Distribution.
-
jvp_pdf(x)
jvp_pdf.m - compute a Jackson-de la Vallee Pousin Probability Density.
-
kapbet_cdf(x, kappa, bet, the...
kapbet_cdf.m - evaluates a Cumulative Kappa Beta Distribution.
-
kapbet_pdf(x, kappa, bet, the...
kapbet_pdf.m - evaluates a Kappa Beta Probability Density.
-
kappa4p_cdf(x, h, k, tsi, alp...
kappa4p_cdf.m - evaluates a Kappa 4-Parameter Cumulative Distribution.
-
kappa4p_pdf(x, h, k, tsi, alp...
kappa4p_pdf.m - evaluates a Kappa 4-Parameter Probability Density.
-
kappamu_cdf(x,kappa,mu)
kappamu_cdf.m - compute Kappa-Mu Cumulative Distribution Function.
-
kappamu_pdf(x, kappa, mu)
kappamu_pdf.m - evaluates a Kappa - Mu Probability Density.
-
katz_cdf(n,b,bet)
Katz_cdf.m - compute Katz Cumulative Distribution Function.
-
katz_pdf(n, b, bet)
katz_pdf.m - tests a Katz Probability Density.
-
katzk_cdf(n, alpha, bet)
katzk_cdf.m - compute Katz-K Cumulative Distribution Function.
-
katzk_cdf(n, alpha, bet)
katzk_cdf.m - compute Katz-K Cumulative Distribution Function.
-
katzk_pdf(n, alpha, bet)
katzk_pdf.m - evaluates a Katz-K Probability Density.
-
kdist_cdf(x, c, nu)
kdist_cdf.m - evaluates a Cumulative K-Distribution.
-
kdist_pdf(x, c, nu)
kdist_pdf.m - evaluates a K-Distribution.
-
kempqbin_cdf(n, N, c, q)
kempqbin_cdf.m - compute Kemp q-binomial Cumulative Distribution Function.
-
kempqbin_pdf(n, N, c, q)
kempqbin_pdf.m - evaluates a Kemp Q-Binomial Probability Density.
-
kempton_cdf(n, b, p, q, N)
kempton_cdf.m - compute Kempton Cumulative Distribution Function.
-
kempton_pdf(n, b, p, q, N)
kempton_pdf.m - evaluates a Kempton Probability Density.
-
kennedy_cdf(x)
kennedy_cdf.m - evaluates a Kennedy Cumulative Distribution.
-
kennedy_pdf(x)
kennedy_pdf.m - evaluates a Kennedy Probability Density.
-
kies_cdf(x, a, b, bet1, bet2,...
kies_cdf.m - evaluates a Kies Weibull Cumulative Distribution.
-
kies_pdf(x, a, b, bet1, bet2,...
kies_pdf.m - evaluates a Kies Weibull Probability Density.
-
koenker_cdf(x, a, b)
koenker_cdf.m - evaluates a Koenker Cumulative Dikstribution.
-
koenker_pdf(x, a, b)
koenker_pdf.m - evaluates a Koenker Probability Density.
-
kolmcdf(x)
KOLMCDF Kolmogorov cumulative distribution function (cdf).
-
kolmpdf(x)
KOLMPDF Kolmogorov probability distribution function (pdf).
-
kotz_cdf(x, q, r, s)
kotz_cdf.m - compute Kotz Cumulative Distribution Function.
-
kotz_pdf(x, q, r, s)
kotz_pdf.m - evaluates a Kotz Probability Density.
-
kotzbirnsan_cdf(x,alpha,bet,q...
kotzbirnsan_cdf.m - compute Kotz Birnbaum Sanders Cumulative Distribution Function.
-
kotzbirnsan_pdf(x, alpha, bet...
kotzbirnsan_pdf.m - evaluates a Kotzl Birnbaum Sanders Probability Density.
-
kprime_cdf(x,alpha,bet,N)
kprime_cdf.m - compute K0 Cumulative Distribution Function.
-
kprime_pdf(x, alpha, bet, N)
kprime_pdf.m - evaluates a K0 Probability Density.
-
kumar4_cdf(x, alpha, bet, a, ...
kumar4_cdf.m - evaluatets a 4-Parameter Kumaraswamy Cumulative Distribution.
-
kumar4_pdf(x, alpha, bet, a, ...
kumar4_pdf.m - evaluatets a 4-Parameter Kumaraswamy Probability Density.
-
kumar_cdf(x, a, b)
kumar_cdf.m - evaluates a Kumaraswamy Cumulative Distribution.
-
kumar_pdf(x, a, b);
kumar_pdf.m - evaluates a Kumaraswamy Probability Density.
-
kummer_cdf(x,alpha,bet,gamm,d...
kummer_cdf.m - evaluatess a Kummer Probability Density.
-
kummer_pdf(x, alpha, bet, gam...
kummer_pdf.m - evaluatess a Kummer Probability Density.
-
kuzmin_cdf(n)
kuzmin_cdf.m - compute Gauss-Kuzmin Cumulative Distribution Function.
-
kuzmin_pdf(n)
kuzmin_pdf.m - evaluates a Gauss-Kuzmin Probability Density.
-
kzero_cdf(x,N)
kzero_cdf.m - compute K0 Cumulative Distribution Function.
-
kzero_pdf(x, N)
kzero_pdf.m - evaluates a K0 Probability Density.
-
lagbeta_cdf(x, n, alpha, bet,...
lagbeta_cdf.m - evaluates a Lagrangian Beta Cumulative Distribution.
-
lagbeta_pdf(x, n, alpha, bet,...
lagbeta_pdf.m - evaluates a Lagrangian Beta Probability Density.
-
lagbinom_cdf(n, theta, nn, m)
lagbinom_cdf.m - compute Lagrangian Binomial Cumulative Distribution Function.
-
lagbinom_pdf(n, theta, nn, m)
lagbinom_pdf.m - evaluates a Lagrangian Binomial Probability Density.
-
lagkatz1_cdf(n, bet, b)
lagkatz1_cdf.m - compute Lagrangian Katz Cumulative 1 Distribution Function.
-
lagkatz1_pdf(n, bet, b)
lagkatz1_pdf.m - evaluates a Lagrangian Katz 1 Probability Density.
-
lagkatz2_cdf(n, bet, b)
lagkatz2_cdf.m - compute Lagrangian Katz Cumulative 2 Distribution Function.
-
lagkatz2_pdf(n, bet, b)
lagkatz2_pdf.m - evaluates a Lagrangian Katz 2 Probability Density.
-
lagkatz_cdf(n, bet, b)
lagkatz_cdf.m - compute Lagrangian Katz Cumulative Distribution Function.
-
lagkatz_pdf(n, bet, b)
lagkatz_pdf.m - evaluates a Lagrangian Katz Probability Density.
-
laglog_cdf(n, bet, c)
laglog_cdf.m - compute Lagrangian Logarithmic Cumulative Distribution Function.
-
laglog_pdf(n, bet, c)
laglog_pdf.m - evaluates a Lagrangian Logarithimic Probability Density.
-
lagpois_cdf(n, theta, alpha)
lagpois_cdf.m - compute Lagrangian Poisson Cumulative Distribution Function.
-
lagpois_pdf(n, theta, alpha)
lagpois_pdf.m - evaluates a Lagrangian Poisson Probability Density.
-
laguerre_cdf(k, N0, M, E)
laguerre_cdf.m - compute Laguerre Cumulative Distribution Function.
-
laguerre_pdf(n, N0, M, E)
laguerre_pdf.m - evaluates a Laguerre Probability Density.
-
laha_cdf(x)
laha_cdf.m - evaluates a Laha Cumulative Distribution.
-
laha_pdf(x)
laha_pdf.m - evaluates a Laha Probability Density.
-
lambdamu_cdf(x,lambda,mu)
lambdamu_cdf.m - compute Lambda-Mu Cumulative Distribution Function.
-
lambdamu_pdf(x, lambda, mu)
lambdamu_pdf.m - evaluates a Lambda - Mu Probability Density.
-
landau(x,lambda);
landau.m - evaluate Landau distribution kernel function.
-
landau_cdf(lambda)
landau_cdf.m - compute Landau Cumulative Distribution Function.
-
landau_pdf(lambda);
landau_pdf.m - evaluates a Landau Probability Density.
-
laplace_cdf(x,sigma,mu)
laplace_cdf.m - evaluates a Laplace Cumulative Distribution.
-
laplace_pdf(x,sigma,mu)
laplace_pdf.m - evaluates a Laplace Probability Density.
-
lapldiff_cdf(x,s1,s2)
lapldiff_cdf.m - compute Laplace Difference Cumulative Distribution Function.
-
lapldiff_pdf(x, s1, s2)
laplsum_pdf.m - evaluates a Laplace Difference Probability Density.
-
laplmsum_cdf(x,n)
laplmsum_cdf.m - compute Laplace Multiple Sum (Unit Std Dev) Cumulative Distribution Function.
-
laplmsum_pdf(x, n)
laplmsum_pdf.m - evaluates a Laplace Multiple Sum (Unit Std Dev) Power Probability Density.
-
laplprod_cdf(x, s1, s2)
test_laplprod.m - evaluates a Laplace Difference Cumulative Distribution.
-
laplprod_pdf(x, s1, s2)
laplprod_pdf.m - evaluates a Laplace Difference Probability Density.
-
laplsum_cdf(x,s1,s2)
laplsum_cdf.m - compute Laplace Sum Cumulative Distribution Function.
-
laplsum_pdf(x, s1, s2)
laplsum_pdf.m - evaluates a Laplace Sum Probability Density.
-
lapnormmix_cdf(x, tsi, sigma,...
lapnormmix_pdf.m - evaluates a Laplace Normal Mixture Probability Density.
-
lapnormmix_pdf(x, tsi, sigma,...
lapnormmix_pdf.m - evaluates a Laplace Normal Mixture Probability Density.
-
laval_cdf(n, nn, c, b)
laval_cdf.m - compute Lavalette Cumulative Distribution Function.
-
laval_pdf(n, nn, b)
laval_pdf.m - evaluates a Lavalette Probability Density.
-
lcointoss_cdf(n, nn)
lcointoss_cdf.m - compute Leads in Coin Toss Cumulative Distribution Function.
-
lcointoss_pdf(n, nn)
lcointoss_pdf.m - evaluates a Leads in Coin Toss Probability Density.
-
leakurn_cdf(n, p, b, c)
leakurn_cdf.m - compute Leaking Urn Cumulative Distribution Function.
-
leakurn_pdf(n, p, b, c)
leakurn_pdf.m - evaluates a Leaking Urn Probability Density.
-
leftpois_cdf(n, theta, r1)
leftpois_cdf.m - compute Left-Truncated Poisson Cumulative Distribution Function.
-
leftpois_pdf(n, theta, r1)
leftpois_pdf.m - evaluates a Left-truncated Poisson Probability Density.
-
leipnik_cdf(x,lambda, mu)
leipnik_cdf.m - compute Leipnik Cumulative Distribution Function.
-
leipnik_pdf(x, lambda, mu)
leipnik_pdf.m - evaluates an Leipnik Probability Density.
-
lerch ( z, s, a )
LERCH estimates the Lerch transcendent function.
-
lerch2(a, b, c)
LERCH estimates the Lerch transcendent function.
-
lerch_cdf(n, z, s, ups)
lerch_cdf.m - evaluatess a Lerch Cumulative Distribution.
-
lerch_pdf(n, z, s, ups)
lerch_pdf.m - evaluatess a Lerch Probability Density.
-
levy2_cdf(x, a, c)
levy2_cdf.m - evaluates a Levy Cumulative Distribution.
-
levy2_pdf(x, a, c)
levy2_pdf.m - evaluates a Levy Probability Density.
-
levy_cdf(x, gam, delta)
levy_cdf.m - evaluates a Levy (Stable) Cumulative Distribution.
-
levy_pdf(x, gam, delta)
levy_pdf.m - evaluates a Levy (Stable) Probability Density.
-
libnov_cdf(x,a,b,lambda)
libnov_cdf.m - compute Libby & Novick Beta Cumulative Distribution Function.
-
libnov_pdf(x, a, b, lambda)
libnov_pdf.m - evaluates a Libby and Novick Beta Probability denisity.
-
lifetest_cdf(n,m,nn,r)
lifetest_cdf.m - compute Life Testing Cumulative Distribution Function.
-
lifetest_pdf(n, m, nn, r)
lifetest_pdf.m - evaluates a Life Testing Probability Density.
-
limpolya_cdf(x,a,c,d,bet,r)
limpolya_cdf.m - compute Limiting Polya-Type Cumulative Distribution Function.
-
limpolya_pdf(x, a, c, d, bet,...
limpolya_pdf.m - evaluates a Limiting Polya-Type Power Probability Density.
-
lindley_cdf(n, theta)
lindley_cdf.m - compute Poisson-Lindley Cumulative Distribution Function.
-
lindley_pdf(n, theta)
lindley_pdf.m - evaluates a Poisson-Lindley Probability Density.
-
lineonorm_cdf(x,sigma)
lineonorm_cdf.m - compute Lineo-Normal Cumulative Distribution Function.
-
lineonorm_pdf(x, sigma)
lineonorm_pdf.m - evaluates a Lineo-Normal Probability Density.
-
linexp_cdf(x,lambda,ups)
linexp_cdf.m - evaluates a Linear Exponential Cumulative Distribution.
-
linexp_pdf(x, lambda, ups)
linexp_pdf.m - evaluates a Linear exponential Probability Density.
-
linfail_cdf(x,theta)
linfail_cdf.m - compute Linear Failure Rate Power Cumulative Distribution Function.
-
linfail_pdf(x, theta)
linfail_pdf.m - evaluates a Linear Failure Rate Probability Density.
-
linfunbin_cdf(n, p, m, nn)
linfunbin_cdf.m - compute Linear Function Binomial Cumulative Distribution Function.
-
linfunbin_pdf(n, p, m, nn)
test_linfunbin.m - tests a Linear Functional Binomial Probability Density.
-
linfunpois_cdf(n, lambda, the...
linfunpois_cdf.m - compute Linear Negative Binomial Cumulative Distribution Function.
-
linfunpois_pdf(n, lambda, the...
linfunpois_pdf.m - evaluates a Linear Functional Poisson Probability Density.
-
linnegbin_cdf(n, p, m, nn)
linnegbin_cdf.m - compute Linear Negative Binomial Cumulative Distribution Function.
-
linnegbin_pdf(n, p, m, nn)
linnegbin_pdf.m - evaluates a Linear Negative Binomial Probability Density.
-
ljubo_cdf(x, k, alpha, bet, a...
ljubo_cdf.m - evaluates a Ljubo Cumulative Distribution.
-
ljubo_pdf(x, k, alpha, bet, a...
ljubo_pdf.m - evaluates a Ljubo Generalized Pareto Probability Density.
-
lmstat_cdf(x, r, nn, k)
lmstat_cdf.m - evaluates a Lagrange Multipler Statistic Cumulative Distribution.
-
lmstat_pdf(x, r, nn, k)
lmstat_pdf.m - evaluates a Lagrange Multipler Statistic Probability Density.
-
log_cdf(n,p)
log_cdf.m - compute Logarithmic (Series) Cumulative Distribution Function.
-
log_pdf(n, p)
log_pdf.m - evaluates a Logarithmic (Series) Probability Density.
-
logbeta_cdf(x, alpha, bet, c,...
logbeta_cdf.m - evaluatess a Log Beta Cumulative Distribution.
-
logbeta_pdf(x, alpha, bet, c,...
logbeta_pdf.m - evaluates a Log Beta Probability Density.
-
logbin_cdf(n,p,m)
logbin_cdf.m - compute Logarithmic Binomial Cumulative Distribution Function.
-
logbin_pdf(n, p, m)
logbin_pdf.m - evaluates a Logarithmic Binomial Probability Density.
-
logbirnsan_cdf(x,alpha,bet)
logbirnsan_cdf.m - compute Logistic Birnbaum Sanders Cumulative Distribution Function.
-
logbirnsan_pdf(x, alpha, bet)
logbirnsan_pdf.m - evaluates a Logistic Birnbaum Sanders Probability Density.
-
logcauchy_cdf(x,sigma,mu)
logcauchy_cdf.m - compute Logarithmic Cauchy Cumulative Distribution Function.
-
logcauchy_pdf(x, sigma, mu)
logcauchy_pdf.m - evaluates a Log Cauchy Probability Density.
-
logdblexp_cdf(x, alpha, bet, ...
logdblexp_cdf.m - compute Log Double Exponential Cumulative Distribution Function.
-
logdblexp_pdf(x, alpha, beta,...
logdblexp_pdf.m - evaluates a Log Double Exponential Probability Density.
-
loggamma_cdf(x, gam, mu, sigm...
loggamma_cdf.m - compute Log Gamma Cumulative Distribution Function.
-
loggamma_pdf(x, gam, mu, sigm...
loggamma_pdf.m - evaluates a Log Gamma Probability Density.
-
logisexp_cdf(x, bet, mu, alph...
logisexp_cdf.m - evaluates a Logistic Exponential Cumulative Distribution.
-
logisexp_pdf(x, bet, mu, alph...
logisexp_pdf.m - evaluates a Logistic Exponential Probability Density.
-
logistic_cdf(x, sigma, mu)
logistic_cdf.m - compute Logistic Cumulative Distribution Function.
-
logistic_pdf(x, sigma, mu)
logistic_pdf.m - evaluates a Logistic Probability Density.
-
logitnorm_cdf(x, sigma, mu)
logitnorm_cdf.m - tests a Logit Normal Cumulative Distribution.
-
logitnorm_pdf(x, sigma, mu)
logitnorm_pdf.m - tests a Logit Normal Probability Density.
-
loglapl_cdf(x, alpha, bet, de...
loglapl_cdf.m - evaluates a Log Laplace Cumulative Distribution.
-
loglapl_pdf(x, alpha, bet, de...
loglapl_pdf.m - evaluates a Log Laplace Probability Density.
-
loglogistic_cdf(x, delta)
loglogistic_cdf.m - compute Log Gamma Cumulative Distribution Function.
-
loglogistic_pdf(x, delta)
loglogistic_pdf.m - evaluates a Log Logistic Probability Density.
-
logn_cdf(x,mu,sigma)
LOGN_CDF Lognormal cumulative distribution function (cdf).
-
logn_pdf(x,mu,sigma)
LOG_NPDF Lognormal probability density function (pdf).
-
lognegbin_cdf(n,p,m)
lognegbin_cdf.m - compute Logarithmic Negative Binomial Cumulative Distribution Function.
-
lognegbin_pdf(n, p, m)
lognegbin_pdf.m - evaluates a Logarithmic Negative Binomial Probability Density.
-
lognegbint_cdf(n,p,k)
lognegbint_cdf.m - compute Logarithmic Negative Binomial (Transformed) Cumulative Distribution Function.
-
lognegbint_pdf(n, p, k)
lognegbitn_pdf.m - evaluates a Logarithmic Negative Binomial (Transformed) Probability Density.
-
lognormb_cdf(x, B, sigsq, mu)
lognormb_cdf.m - evaluates a Lognormal B Cumulative Distribution.
-
lognormb_pdf(x, B, sigsq, mu)
lognormb_pdf.m - evaluates a Lognormal B Probability Density.
-
lognorme_cdf(x, sigma, mu)
lognorme_cdf.m - evaluates a Lognormal E Cumulative Distribution.
-
lognorme_pdf(x, sigma, mu)
lognorme_pdf.m - evaluates a Lognormal E Probability Density.
-
logpears3_cdf(x,lambda,bet,ep...
logpears3_cdf.m - compute Log Pearson III Cumulative Distribution Function.
-
logpears3_pdf(x, lambda, bet,...
logpears3_pdf.m - evaluates the Log Pearson 3 Probability Density Function.
-
logpois_cdf(n,p,lambda)
logpois_cdf.m - compute Logarithmic Poisson Cumulative Distribution Function.
-
logpois_pdf(n, p, lambda)
test_logpois.m - tests a Logarithmic Poisson Probability Density.
-
logpoismix_cdf(n,bet,theta)
logpoismix_cdf.m - compute Logarithmic Poisson Mixture Cumulative Distribution Function.
-
logpoismix_pdf(n, bet, theta)
logpoismix_pdf.m - evaluates a Logarithmic Poisson Mixture Probability Density.
-
logpoist_cdf(n,p,lambda)
logpoist_cdf.m - compute Logarithmic Poisson (Transformed) Cumulative Distribution Function.
-
logpoist_pdf(n, p, lambda)
logpoist_pdf.m - evaluates a Logarithmic Poisson (Transformed) Probability Density.
-
logsech_cdf(x,a,b)
logsech_cdf.m - compute log hyperbolic secant Cumulative Distribution Function.
-
logsech_pdf(x, a, b)
log_pdf.m - evaluates a log hyperbolic secant Probability Density.
-
logseries_cdf(x,a);
logseries_cdf.m - compute the Log Series Cumulative Distribution Function.
-
logseries_pdf(x,theta);
logseries_pdf.m - compute the Log Series Cumulative Distribution Function.
-
logskewt_cdf(x,nu,lambda,sigm...
logskewt_cdf.m - compute Log Skew T Cumulative Distribution Function.
-
logskewt_pdf(x, nu, lambda, s...
logskewt_pdf.m - evaluates a Log Skew T Probability Density.
-
logsknor_cdf(x,lambda,sigma)
logsknor_cdf.m - compute Log Skew Normal Cumulative Distribution Function.
-
logsknor_pdf(x, lambda, sigma...
logsknor_pdf.m - evaluates a Log Skew Normal Probability Density.
-
logt_cdf(x,mu,r,sigma)
logt_cdf.m - compute Log T Cumulative Distribution Function.
-
logt_pdf(x, mu, r, sigma)
logt_pdf.m - evaluates a Log T Probability Density.
-
logweib_cdf(x, bet, mu)
logweib_cdf.m - evaluates a Log Weibull Cumulative Distribution.
-
logweib_pdf(x, bet, mu)
logweib_pdf.m - evaluates a Log Weibull Probability Density.
-
logzero_pdf(n, theta, k)
logzero_pdf.m - evaluates a Log Zero Probability Density.
-
logzeropois_cdf(n, omega, lam...
logzeropois_cdf.m - compute Log Zero Poisson Cumulative Distribution Function.
-
logzeropois_pdf(n, omega, lam...
logzeropois_pdf.m - evaluates a Log Zero Poisson Probability Density.
-
logzeros_cdf(n, omega, theta)
logzeros_cdf.m - compute Logarithmic with Zeros Cumulative Distribution Function.
-
logzeros_pdf(n, omega, theta)
logzeros_pdf.m - evaluates a Logarithmic with Zeros Probability Density.
-
lorentz_cdf(x)
lorentz_cdf.m - evaluates a Cumulative Lorentz Probability Distribution.
-
lorentz_pdf(x)
lorentz_pdf.m - evaluates a Lorentzian Probability Density Function.
-
lospowgm_cdf(x, nn, a)
lospowgm_cdf.m - evaluates a Largest Order Statistic Power Geometric Mean Cumulative Distribution.
-
lospowgm_pdf(x, nn, a)
lospowgm_pdf.m - evaluates a Largest Order Statistic Power Geometric Mean Probability Density.
-
lospowprod_cdf(x, nn, m, a)
lospowprod_cdf.m - evaluates an Largest Order Statistic Power Product Cumulative Distibution.
-
lospowprod_pdf(x, nn, m, a)
lospowprod_pdf.m - evaluates an Largest Order Statistic Power Product Probability Density.
-
lospowrat_cdf(x, nn, m, a)
lospowrat_cdf.m - evaluates an Largest Order Statistic Power Ratio Cumulative Distribution.
-
lospowrat_pdf(x, nn, m, a)
lospowrat_pdf.m - evaluates an Largest Order Statistic Power Ratio Probability Density.
-
lostgame_cdf(n, p, r)
lostgame_cdf.m - compute absorption (Dunkl q-binomial) Cumulative Distribution Function.
-
lostgame_pdf(n, p, r)
lostgame_pdf.m - evaluates a Lost Game Probability Density.
-
lrstat_cdf(x, r, nn, k)
lrstat_cdf.m - evaluates a Likelihood Ratio-Statistic Cumulative Distribution.
-
lrstat_pdf(x, r, nn, k)
lrstat_pdf.m - evaluates a Likelihood Ratio-Statistic Probability Density.
-
lsuccess_cdf(n, p, nn)
lsuccess_cdf.m - evaluates Length of Longest Success Run Cumulative Distribution.
-
lsuccess_pdf(n, p, nn)
lsuccess_pdf.m - evaluates Length of Longest Success Run Probability Density.
-
madow_cdf(x,n,r)
simplex_cdf.m - compute Leipnik Cumulative Distribution Function.
-
madow_pdf(x, n, r)
daniels_pdf.m - evaluates a Daniels Probability Density.
-
makeham2_cdf(x,a,b,c)
makeham2_cdf.m - compute Makeham Cumulative Distribution Function.
-
makeham2_pdf(x, a, b, c)
makeham2_pdf.m - evaluates a Makeham Probability Density.
-
makeham_cdf(x, eta, zet)
makeham_cdf.m - evaluates a Cumulative Gompertz-Makeham Distribution.
-
makeham_pdf(x, eta, zet)
makeham_pdf.m - evaluates a Gompertz-Makeham Probability Density.
-
malik1_cdf(x,a,n,k)
malik1_cdf.m - compute Malik 1 Cumulative Distribution Function.
-
malik1_pdf(x, a, n, k)
malik1_pdf.m - evaluates a Malik 1 Probability Density.
-
malik2_cdf(x,a,n,k)
malik2_cdf.m - compute Malik 2 Cumulative Distribution Function.
-
malik3_cdf(x,a,n,k)
malik3_cdf.m - compute Malik 3 Cumulative Distribution Function.
-
malik3_pdf(x, a, n, k)
malik3_pdf.m - evaluates a Malik 3 Probability Density.
-
malik4_cdf(x,a,p,k)
malik4_cdf.m - compute Malik 4 Cumulative Distribution Function.
-
malik4_pdf(x, a, p, k)
malik4_pdf.m - evaluates a Malik 3 Probability Density.
-
malikf_cdf(x,a,b,nu1,nu2)
malikf_cdf.m - compute Malik F Cumulative Distribution Function.
-
malikf_pdf(x, a, b, nu1, nu2)
malikf_pdf.m - evaluates a Malik F Probability Density.
-
mallowsY_cdf(x,omega)
mallowsY_cdf.m - compute Mallows Y Cumulative Distribution Function.
-
mallowsY_pdf(x, omega)
mallowsY_pdf.m - evaluates a Mallows Y Probability Density.
-
mandel_cdf(n, NN, q, s)
mandel_cdf.m - evaluates a Zipf-Mandelbrot Cumulative Distribution.
-
mandel_pdf(n, NN, q, s)
mandel_pdf.m - evaluates a Zipf-Mandelbrot Probability Density.
-
mapairy_cdf(x)
mapairy_cdf.m - compute Mallows Y Cumulative Distribution Function.
-
mapairy_pdf(x)
mapairy_pdf.m - compute the Map-Airy Probability Density Function.
-
match_cdf(n, nn)
match_cdf.m - compute a Matching Cumulative Distribution Function.
-
match_pdf(n, nn)
match_pdf.m - evaluates a Matching Probability Density.
-
maxbol_cdf(n, b, c)
maxbol_cdf.m - compute a Maxwell Boltzman Counting Cumulative Distribution Function.
-
maxbol_pdf(n, b, c)
maxbol_pdf.m - evaluates a Maxwell Boltzman Counting Probability Density.
-
maxnegbin_cdf(n, c, p)
maxnegbin_cdf.m - compute a Maximum Negative Binomial Cumulative Distribution Function.
-
maxnegbin_pdf(n, c, p)
maxnegbin_pdf.m - evaluates a Maximum Negative Binomial Probability Density.
-
maxwell_cdf(x,a)
maxwell_cdf.m - evaluates a Cumulative Maxwellian Probability Distribution.
-
maxwell_pdf(x,a)
maxwell_pdf.m - evaluates a Maxwellian Probability Density Function.
-
mbbefd_cdf(x, b, g)
mbbefd_cdf.m - evaluates a Maxwell-Boltzman Bose-Einstein Fermi-Dirac Cumulative Distribution.
-
mbbefd_pdf(x, b, g)
mbbefd_pdf.m - evaluates a Maxwell-Boltzman Bose-Einstein Fermi-Dirac Probability Density.
-
mbbinbet_cdf(n, nn, w, p, m)
mbbinbet_cdf.m - evaluates a Morrison & Brockway Compound Binomial Beta Cumulative Distribution.
-
mbbinbet_pdf(n, nn, w, p, m)
mbbinbet_pdf.m - evaluates a Morrison & Brockway Compound Binomial Beta Probability Density.
-
mccull_cdf(x,theta,nu)
mccull_cdf.m - compute McCullagh Cumulative Distribution Function.
-
mccull_pdf(x, theta, nu)
mccull_pdf.m - evaluatess a McCullagh Probaility Density.
-
mccullagh1_cdf(x,n,theta)
mccullagh1_cdf.m - compute McCullagh 1 Cumulative Distribution Function.
-
mccullagh1_pdf(x, n, theta)
mccullagh1_pdf.m - evaluates a McCullagh 1 Probability Density.
-
mccullagh2_cdf(x,n,theta)
mccullagh2_cdf.m - compute McCullagh 2 Cumulative Distribution Function.
-
mccullagh2_pdf(x, n, theta)
mccullagh2_pdf.m - evaluates a McCullagh 2 Probability Density.
-
mchamper_cdf(x, alpha, c, M)
mchamper_cdf.m - evaluates a Modified Champernowne Cumulative Distribution.
-
mchamper_pdf(x, alpha, c, M)
mchamper_pdf.m - evaluates a Modified Champernowne Probability Density.
-
mckay1_cdf(x,a,b,c)
mckay1_cdf.m - compute McKay I Cumulative Distribution Function.
-
mckay1_pdf(x, a, b, c)
mckay1_pdf.m - evaluates a McKay I Probability Density.
-
mckay2_cdf(x,a,b,c)
mckay2_cdf.m - compute McKay II Cumulative Distribution Function.
-
mckay2_pdf(x, a, b, c)
mckay2_pdf.m - evaluates a McKay II Probability Density.
-
mcleish_cdf(x,alpha,a)
mcleish_cdf.m - compute McLeish Cumulative Distribution Function.
-
mcleish_pdf(x, alpha, a)
mcleisch_pdf.m - evaluates a Generalized McLeish Probability Density.
-
md1_cdf(n, rho)
md1_cdf.m - compute MD1 Queue-Size Cumulative Distribution Function.
-
md1_pdf(n, rho)
md1_pdf.m - evaluates an M/D/1 Queue-Size Probability Density.
-
meixner_cdf(x, a, b, d, m)
genhyp_cdf.m - evaluates a Cumulative Meixner Distribution.
-
meixner_pdf(x, a, b, d, m)
meixner_pdf.m - evaluates a Meixner Probability Density.
-
mhygfx.m
-
minnegbin_cdf(n, m, p)
minnegbin_cdf.m - compute a Minimum Negative Binomial Cumulative Distribution Function.
-
minnegbin_pdf(n, m, p)
minnegbin_pdf.m - evaluates a Minimum Negative Binomial Probability Density.
-
mixbint_cdf(x,nn,p,nu)
mixbint_cdf.m - compute Mixed Binomial T Cumulative Distribution Function.
-
mixbint_pdf(x, nn, p, nu)
mixbint_pdf.m - evaluates a Mixed Binomial T Probability Density.
-
mixinvgaus_cdf(x,mu,sigma,p)
mixinvgaus_cdf.m - compute Mixed Inverse Gaussian Cumulative Distribution Function.
-
mixinvgaus_pdf(x, mu, sigma, ...
mixinvgaus_pdf.m - evaluates a Mixed Inverse Gaussian Probability Density.
-
mixpois_cdf(n,lambda,mu,bet)
mixpois_cdf.m - evaluates a Sichel Mixed Poisson Cumulative Distribution.
-
mixpois_pdf(n,lambda,mu,bet)
mixpois_pdf.m - evaluates a Sichel Mixed Poisson Density.
-
mixpoislog_cdf(n,a)
mixpoislog_cdf.m - compute Mixed Poisson Lognormal Cumulative Distribution Function.
-
mixpoislog_pdf(n, a)
mixpoislog_pdf.m - evaluates a Mixed Poisson Lognormal Probability Density.
-
modbinom1_cdf(n,nn,m,p)
modbinom1_cdf.m - compute a First Modified Binomial Cumulative Distribution Function.
-
modbinom1_pdf(n, nn, m, p)
modbinom1_pdf.m - evaluates a First Modified Binomial Probability Density.
-
modfelix_cdf(n, lambda, theta...
modfelix_cdf.m - compute Modified Felix Cumulative Distribution Function.
-
modfelix_pdf(n, lambda, theta...
modfelix_pdf.m - evaluates a Modified Felix Probability Density.
-
modhans_cdf(x,u2,u4,u6,u8)
modhans_cdf.m - compute modified Hansmann Cumulative Distribution Function.
-
modhans_pdf(x, u2, u4, u6, u8...
modhans_pdf.m - evaluates a modified Hansmann Probability Density.
-
modnorm_cdf(x,a,sigma)
modnorm_cdf.m - compute Modified Normal Cumulative Distribution Function.
-
modnorm_pdf(x, a, sigma)
modnorm_pdf.m - evaluates a Modified Normal Probability Density.
-
modpert_cdf(x, gam, mo, a, b)
modpert_cdf.m - evaluates a Modified PERT Cumulative Distribution.
-
modpert_pdf(x, gam, mo, a, b)
modpert_pdf.m - evaluates a Modified PERT Probability Density.
-
modpois1_cdf(n,lambda,k)
modpois1_cdf.m - compute a First Modified Poisson Cumulative Distribution Function.
-
modpois1_pdf(n, lambda, k)
modpois1_pdf.m - evaluates a First Modified Poisson Probability Density.
-
modstev_cdf(n,b,c,s)
modstev_cdf.m - compute Modified Stevens Craig Cumulative Distribution Function.
-
modstev_pdf(n, b, c, s)
modstev_pdf.m - evaluates an Modified Stevens Craig Probability Density.
-
modved_cdf(n, p, m, nn)
modved_cdf.m - compute Modified Ved Cumulative Distribution Function.
-
modved_pdf(n, p, m, nn)
modved_pdf.m - evaluates a Modified Ved Probability Density.
-
modweib_cdf(x, c, p, A, B)
modweib_cdf.m - evaluates a Modified Weibull Cumulative Distribution.
-
modweib_pdf(x, c, p, A, B)
modweib_pdf.m - evaluatess a Modified Weibull Probability Density.
-
morse_cdf(n,lambda,q)
morse_cdf.m - compute Morse Cumulative Distribution Function.
-
morse_pdf(n, lambda, q)
morse_pdf.m - evaluates a Morse Probability Density.
-
moyal_cdf(x, mu, sigma)
moyal_cdf.m - evaluates a Cumulative Moyal Distribution.
-
moyal_pdf(x, mu, sigma)
moyal_pdf.m - evaluates a Moyal Probability Density.
-
mrgenbeta_cdf(x, a, b, p, q)
mrgenbeta_cdf.m - evaluates a McDonald & Richards Generalized Beta Cumulative Distribution.
-
mrgenbeta_pdf(x, a, b, p, q)
mrgenbeta_pdf.m - evaluates a McDonald & Richards Generalized Beta Probability Density.
-
multinom_cdf(n, sp1, nn, N)
multinom_cdf.m - compute Factorial Multinomial Cumulative Distribution Function.
-
multinom_pdf(n, sp1, nn, p)
multinom_pdf.m - evaluates a Multinomial Distribution.
-
multout_cdf(x,xmin,psi0,xmax)
multout_cdf.m - compute Multiplier Output Cumulative Distribution Function.
-
multout_pdf(x, xmin, psi0, xm...
multout_pdf.m - evaluates a Multiplier Output Probability Density.
-
mxgenbet_cdf(x, p, q, a, b, c...
mxgenbet_cdf.m - evaluates a McDonald & Xu Generalized Beta Cumulative Distribution.
-
mxgenbet_pdf(x, p, q, a, b, c...
mxgenbet_pdf.m - evaluates a McDonald & Xu Generalized Beta Probability Density.
-
mxm1_cdf(n, rho, alpha)
mxm1_cdf.m - compute MxM1 Queue-Size Cumulative Distribution Function.
-
mxm1_pdf(n, rho, alpha)
mxm1_pdf.m - evaluates an Mx/M/1 Queue-Size Probability Density.
-
nadarajah_cdf(x, a, b, c, d)
nadarajah_cdf.m - evaluates an Nadarajah Weibull Probability Density.
-
nadarajah_pdf(x, a, b, c, d)
nadarajah_pdf.m - evaluates an Nadarajah Weibull Probability Density.
-
nakagami_cdf(x, a, b, c)
Nakagami_cdf.m evaluates a Nakagami cumulative Distribution.
-
nakagami_pdf(x, a, b, c)
Nakagami_pdf.m evaluates a Nakagami Probability Distribution.
-
nakaq_cdf(x,sigma,q)
nakaq_cdf.m - compute Nakagami-q Cumulative Distribution Function.
-
nakaq_pdf(x, sigma, q)
nakaq_pdf.m - evaluates a Nakagami-q Probability Density.
-
nandi_cdf(n,a,s,z)
nandi_cdf.m - compute Nandi (Generalized Poisson) Cumulative Distribution Function.
-
nandi_pdf(n, a, s, z)
nandi_pdf.m - evaluates a Nandi (Generalized Poisson) Probability Density.
-
naor_cdf(n, nn)
naor_cdf.m - compute Naor Cumulative Distribution Function.
-
naor_pdf(n, nn)
naor_pdf.m - evaluates a Naor Probability Density.
-
narayana_cdf(n, k)
narayana_cdf.m - compute Narayana Cumulative Distribution Function.
-
narayana_pdf(n, nn)
narayana_pdf.m - evaluates a Singh Poisson Probability Density.
-
nbin_cdf(x,r,p)
NBIN_CDF Negative binomial cumulative distribution function.
-
nbin_pdf(x,r,p)
NBIN_PDF Negative binomial probability density function.
-
nbinbet_cdf(n, nn, w, r)
nbinbet_cdf.m - evaluates a Negative Binomial Beta Cumulative Distribution.
-
nbinbet_pdf(n, nn, w, r)
nbinbet_pdf.m - evaluates a Negative Binomial Beta Probability Density.
-
nbinnbin_cdf(n, Q, QQ, k, M)
nbinnbin_cdf.m - compute Negative Binomial Negative Binomial Cumulative Distribution Function.
-
nbinnbin_pdf(n, Q, QQ, k, M)
nbinnbin_pdf.m - evaluates a Negative Binomial Negative Binomial Probability Density.
-
nbinomtri_cdf(n, theta, alpha...
nbinomtri_cdf.m - compute Negative Binomial Triangular Cumulative Distribution Function.
-
nbinomtri_pdf(n, theta, alpha...
nbinomtri_pdf.m - evaluates a Negative Binomial Triangular Probability Density.
-
nbinordk_cdf(n,k,p,r,b)
nbinordk_cdf.m - compute Negative Binomial Order k Cumulative Distribution Function.
-
nbinordk_pdf(n, k, p, r, b)
nbinordk_pdf.m - evaluates a Negative Binomial Order K Probability denisity.
-
nbinpois_cdf(n, Q, k, M)
nbinpois_cdf.m - compute Negative Binomial Poisson Cumulative Distribution Function.
-
nbinpois_pdf(n, Q, k, M)
nbinpois_pdf.m - evaluates a Negative Binomial Poisson Probability Density.
-
nc_beta_cdf(x, p, q, lambda)
nc_beta_cdf.m - evaluates a Cumulative Non-Central Beta Distribution.
-
nc_beta_pdf(x, p, q, lambda)
nc_beta_pdf.m - evaluates a Non-Central Beta Probability Density.
-
nc_chisq_cdf(x, n, s, sigma)
nc_chisq_cdf.m evaluates a non- central Chi-squared Cumulative Distribution.
-
nc_chisq_pdf(x, n, s, sigma)
nc_chisq_pdf.m evaluates a non-central Chi-squared Probability Distribution.
-
nc_f_cdf(x,nu1,nu2,delta)
NC_F_CDF Noncentral F cumulative distribution function (cdf).
-
nc_f_pdf(x,nu1,nu2,delta)
NC_F_PDF Noncentral F probability density function (pdf).
-
nc_t_cdf(x,nu,delta)
NC_T_CDF Noncentral T cumulative distribution function (cdf).
-
nc_t_pdf(x,v,delta)
NC_T_PDF Noncentral T probability density function (pdf).
-
ncbet1_cdf(x, a, b, lambda)
ncbet1_cdf.m - evaluates a Type 1 Non-Central Beta Cumulative Distribution.
-
ncbet2_cdf(x, a, b, lambda)
ncbet2_cdf.m - evaluates a Type 2 Non-Central Beta Cumulative Distribution.
-
ncbet2_pdf(x, a, b, lambda)
ncbet2_pdf.m - evaluates a Type 2 Non-Central Beta Probability Density.
-
ncchisqpr_cdf(x,lambd1,lambd2...
ncchisqpr_cdf.m - compute Non-Central Chi-Square Product Cumulative Distribution Function.
-
ncchisqpr_pdf(x, lambda1, lam...
ncchisqpr_pdf.m - evaluates a Non-Central Chi-Square Product Probability Density.
-
ncchisqra_cdf(x,lambd1,lambd2...
ncchisqra_cdf.m - compute Non-Central Chi-Square Ratio Cumulative Distribution Function.
-
ncchisqra_pdf(x, lambda1, lam...
ncchisqra_pdf.m - evaluates a Non-Central Chi-Square Ratio Probability Density.
-
ncgamma_cdf(x,alpha,theta)
ncgamma_cdf.m - compute Non-Central Gamma Cumulative Distribution Function.
-
ncgamma_pdf(x, alpha, theta)
ncgamma_pdf.m - evaluates a Non-Central Gamma Probability Density.
-
ncnegbin_cdf(n,a,lambda,ups)
ncnegbin_cdf.m - compute Non-Central negative Binomial Cumulative Distribution Function.
-
ncnegbin_pdf(n, a, lambda, up...
ncnegbin_pdf.m - evaluates a Non-Central negative binomial Probability Density.
-
neg_cdf(x,lambda,gam)
neg_cdf.m - compute Normal Exponential Gamma Cumulative Distribution Function.
-
neg_pdf(x, lambda, gam)
neg_pdf.m - evaluates a Normal Exponential Gamma Probability Density.
-
negbin1_cdf(n, lambda, P)
negbin1_cdf.m - compute Negative Binomial 1 Cumulative Distribution Function.
-
negbin1_pdf(n, lambda, P)
negbin1_pdf.m - evaluates a Negative Binomial 1 Probability Density.
-
negbin2_cdf(n, alpha, lambda)
negbin2_cdf.m - compute Negative Binomial 2 Cumulative Distribution Function.
-
negbin2_pdf(n, alpha, lambda)
negbin2_pdf.m - evaluates a Negative Binomial 2 Probability Density.
-
negbinbin_cdf(n, q, Q, k, nn)
negbinbin_cdf.m - compute Negative Binomial Binomial Cumulative Distribution Function.
-
negbinbin_pdf(n, q, Q, k, nn)
negbinbin_pdf.m - evaluates a Negative Binomial Binomial Probability Density.
-
negbindel_cdf(i, m, p, k)
negbindel_cdf.m - compute negative binomial delta Cumulative Distribution Function.
-
negbindel_pdf(n, m, p, k)
negbindel_pdf.m - evaluates a Negative Binomial Delta Probability Density.
-
negfacmulti_cdf(n,sp1,k,N)
negfacmulti_cdf.m - compute Negative Factorial Multinomial Cumulative Distribution Function.
-
negfacmulti_pdf(n, sp1, k, N)
negfacmulti_pdf.m - evaluates a Negative Factorial Multinomial Distribution.
-
neghyper2_pdf(n, v, w, nn)
neghyper2_pdf.m - evaluates a Negative Hypergeometric Probability Density.
-
neghyper_cdf(n,N,a,b)
neghyper_cdf.m - compute Negative Hypergeometric Cumulative Distribution Function.
-
neghyper_pdf(n, N, a, b)
neghyper_pdf.m - evaluates a Negative Hypergeometric Probability Density.
-
negmulti_cdf(n,sp1,k,nn,p)
negmulti_cdf.m - compute Negative Multinomial Cumulative Distribution Function.
-
negmulti_pdf(n, sp1, k, nnmax...
negmulti_pdf.m - evaluates a Negative Multinomial Distribution.
-
nexceed_cdf(n,m,r,nn)
nexceed_cdf.m - compute Number of Exceedances Cumulative Distribution Function.
-
nexceed_pdf(n, m, r, nn)
nexceed_pdf.m - evaluates a Number of Exceedances Probability Density.
-
neyman_cdf(n, m1, m2)
thomas_cdf.m - compute Neyman Type A Cumulative Distribution Function.
-
neyman_pdf(n, m1, m2)
neyman_pdf.m - evaluates a Neyman Type A Probability Density.
-
neypois_cdf(n, lambda, phi, r...
neypois_cdf.m - compute Neyman A Poisson Cumulative Distribution Function.
-
neypois_pdf(n, lambda, phi, r...
neypois_pdf.m - evaluates a Neyman Type A Poisson Probability Density.
-
nfctrnbin_cdf(n, k, theta, nn...
nfctrnbin_cdf.m - compute n-fold Convolution of Truncated Negative Binomial
-
nfctrnbin_cdf(n, k, theta, nn...
nfctrnbin_cdf.m - compute Neyman A Poisson Cumulative Distribution Function.
-
nfctrnbin_pdf(n, k, theta, nn...
nfctrnbin_pdf.m - evaluates an n-fold Convolution of Truncated negative Binomial
-
nggsd_cdf(n, alpha, bet, jj, ...
nggsd_cdf.m - evaluates a New Generalized Geometric Series Cumulative Distribution.
-
nggsd_pdf(n, alpha, bet, jj, ...
nggsd_pdf.m - evaluates a New Generalized Geometric Series Distribution Probability Density.
-
nig_cdf(x,alpha,bet,mu, delta...
nig_cdf.m - compute Normal Inverse Gaussian Cumulative Distribution Function.
-
nig_pdf(x, alpha, bet, mu, de...
nig_pdf.m - evaluatess a Normal Inverse Gaussian Probability Density.
-
norgam_cdf(x,lambda,alpha,bet...
norgam_cdf.m - compute Normal Gamma Cumulative Distribution Function.
-
norgam_pdf(x, lambda, alpha, ...
norgam_pdf.m - evaluates a Normal Gamma Probability Density.
-
norm_cdf(x,mu,sigma)
NORM_CDF Normal cumulative distribution function (cdf).
-
normexpt_cdf(x, mu, sigma, k1...
normexpt_cdf.m - compute Normal Exponential T Cumulative Distribution Function.
-
normexpt_pdf(x, mu, sigma, k1...
normexpt_pdf.m - evaluates a Normal Exponential T Probability Density.
-
normlapl_cdf(x,alpha,bet,sigm...
normlapl_cdf.m - compute Normalized Laplace Cumulative Distribution Function.
-
normlapl_pdf(x, alpha, bet, s...
normlapl_pdf.m - evaluates a Normalized Laplace Probability Density.
-
normmom_cdf(x, alpha)
normmom_cdf.m - evaluates a Normal Moment Cumulative Distribution.
-
normmom_pdf(x, alpha)
normmom_pdf.m - evaluates a Normal Moment Probability Density.
-
norrecgam_cdf(x, lambda, alph...
norrecgam_cdf.m - computes a Normal Reciprocal Gamma Cumulative Distribution.
-
norrecgam_pdf(x, lambda, alph...
norrecgam_pdf.m - evaluates a Normal ReciprocalGamma Probability Density.
-
nsuccess_cdf(n,p,k,nn)
nsuccess_cdf.m - compute Number of Success Runs of Length K (or longer)
-
nsuccess_pdf(n, p, k, nn)
nsuccess_pdf.m - evaluates the Number of Success Runs of length K (or longer) Probability Density.
-
occupy0_cdf(n,c,b)
occupy0_cdf.m - compute Occupancy 0 (at least) Cumulative Distribution Function.
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occupy0_pdf(n, c, b)
occupy0_pdf.m - evaluates an Occupancy 0 (at least) Probability Density.
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occupy_cdf(n,c,b)
occupy_cdf.m - compute Occupancy Cumulative Distribution Function.
-
occupy_pdf(n, c, b)
occupy_pdf.m - evaluates an Occupancy Probability Density.
-
ogive_cdf(x,nn,a,b)
ogive_cdf.m - compute Ogive Cumulative Distribution Function.
-
ogive_pdf(x, nn, a, b)
ogive_pdf.m - evaluates an Ogive Probability Density.
-
okcorral_cdf(n, nn, m)
okcorral_cdf.m - compute an OK Corral Urn Cumulative Distribution Function.
-
okcorral_pdf(n, nn, m)
eggpol2_pdf.m - evaluates a Polya Eggenberger Probability Density.
-
otter_cdf(n,p)
otter_cdf.m - compute Otter Cumulative Distribution Function.
-
otter_pdf(n, p)
otter_pdf.m - tests an Otter Probability Density.
-
overunder_cdf(n, lambda, q)
overunder_cdf.m - compute Over-Underdispersed Cumulative Distribution Function.
-
overunder_pdf(n, lambda, q)
overunder_pdf.m - evaluates an Over-Underdispersed Probability Density.
-
p7birnsan_cdf(x,alpha,bet,q,r...
p7birnsan_cdf.m - compute Pearson 7 Birnbaum Sanders Cumulative Distribution Function.
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p7birnsan_pdf(x, alpha, bet, ...
p7birnsan_pdf.m - evaluates a pearson 7 Birnbaum Sanders Probability Density.
-
parabolic_cdf(x, a, b)
parabolic_cdf.m - evaluates a Parabolic Cumulative Distribution.
-
parabolic_pdf(x, a, b)
parabolic_pdf.m - evaluates a Parabolic Probability Density.
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pareto2_cdf(x, gamma, k)
pareto2_cdf.m - evaluates a Cumulative Pareto 2nd-Distribution.
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pareto2_pdf(x, gamma, k)
pareto2_pdf.m - evaluates an Pareto 2nd-Probability Density.
-
pareto3_cdf(x, a, b, C)
pareto3_cdf.m - evaluates a Pareto III Cumulative Distribution.
-
pareto3_pdf(x, a, b, C)
pareto3_pdf.m - evaluates a Pareto III Probability Density.
-
pareto4_cdf(x, mu, alpha, gam...
pareto4_cdf.m - evaluates a Pareto IV Cumulative Distribution.
-
pareto4_pdf(x, mu, alpha, gam...
pareto4_pdf.m - evaluates a Pareto IV Probability Density.
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pareto_cdf(x, gamma, k)
pareto_cdf.m - evaluates a Cumulative Pareto Distribution.
-
pareto_pdf(x, gamma, k)
pareto_pdf.m - evaluates an Pareto Probability Density.
-
parlogis_cdf(x,a,b)
parlogis_cdf.m - compute Paralogistic Cumulative Distribution Function.
-
parlogis_pdf(x, a, b)
parlogis_pdf.m - evaluates a Paralogistic Probability Density.
-
parlognor_cdf(x, alpha, bet, ...
parlognor_cdf.m - evaluates a Double Pareto Lognormal Cumulative Distribution.
-
parlognor_cdf(x,alpha, bet, n...
parlognor_cdf.m - compute Double Pareto Lognormal Cumulative Distribution Function.
-
parlognor_pdf(x, alpha, bet, ...
parlognor_pdf.m - evaluates a Double Pareto Lognormal Probability Density.
-
parnprod1_cdf(x,nn,k,a)
parnprod1_cdf.m - compute Pareto n Product 1 Cumulative Distribution Function.
-
parnprod1_pdf(x, nn, k, a)
test_parnprod1.m - tests a Pareto n-Product constant "k" Probability Density.
-
parnprod2_cdf(x,nn,a,k)
parnprod2_cdf.m - compute Pareto n Product 1 Cumulative Distribution Function.
-
parnprod2_pdf(x, nn, a, k)
test_parnprod2.m - tests a Pareto n-Product constant "a" Probability Density.
-
parratio_cdf(x, a1, a2, k1, k...
parratio_cdf.m - evaluates a Pareto Ratio Cumulative Distribution.
-
parratio_pdf(x, a1, a2, k1, k...
parratio_pdf.m - evaluates a Pareto Ratio Probability Density.
-
partition(n);
partition.m - calling program to compute integer partitions of n.
-
partitioni8(n)
partitioni8.m - calling program to compute integer partitions of n.
-
paspois_cdf(n,mu,a,c)
paspois_cdf.m - compute Pascal poisson Cumulative Distribution Function.
-
paspois_pdf(n, mu, a, c)
paspois_pdf.m - evaluates a Pascal Poisson Probability Density.
-
pdf3(x, di, pv, distrib, cv)
-
pdf3d(x, di, pv, distrib, cv)
-
pdf4d(x, di, pv, distrib, cv)
-
pear7lapld_cdf(x, a)
pear7lapld_cdf.m - evaluates a Pearson 7 Laplace Difference Cumulative Distribution.
-
pear7laplp_cdf(x, a)
pear7laplp_cdf.m - evaluates a Pearson 7 Laplace Product Cumulative Distribution.
-
pearson12_cdf(x,a,b,c)
pearson12_cdf.m - evaluates a Pearson XII Cumulative Distribution.
-
pearson12_pdf(x, a, b, c)
pearson12_pdf.m - evaluates a Pearson XII Probability Density.
-
pearson1_cdf(x,a,b,c,d)
pearson1_cdf.m - evaluates a Pearson I Cumulative Distribution.
-
pearson1_pdf(x, a, b, c, d)
pearson1_pdf.m - evaluates a Pearson I Probability Density.
-
pearson2_cdf(x,a,b);
pearson2_cdf.m - evaluates a Pearson II Cumulative Distribution.
-
pearson2_pdf(x, a, b)
pearson2_pdf.m - evaluates a Pearson II Probability Density.
-
pearson3_cdf(x,lambda,bet,eps...
pearson3_cdf.m - compute Pearson III Cumulative Distribution Function.
-
pearson3_pdf(x, lambda, beta,...
pearson3_pdf.m - evaluates the Pearson 3 Probability Density Function.
-
pearson4_cdf(x, m, nu, a, lam...
pearson4_cdf.m - evaluates a Cumulative Pearson Type IV Distribution.
-
pearson4_cdf(x, m, nu, a, lam...
pearson4_cdf.m - evaluates a Cumulative Pearson Type IV Distribution.
-
pearson4_pdf(x, m, nu, a, lam...
pearson4_pdf.m - evaluates a Pearson Type IV Probability Density.
-
pearson5_cdf(x,a,b,c)
pearson5_cdf.m - compute Pearson V Cumulative Distribution Function.
-
pearson5_pdf(x, a, b, c);
PEARSON_05_PDF evaluates the Pearson 5 PDF. Vector Form!
-
pearson6_cdf(x,a,b)
pearson6_cdf.m - compute Pearson VI Cumulative Distribution Function.
-
pearson6_pdf(x, a, b)
pearson6_pdf.m - evaluates the Pearson 6 PDF.
-
pearson7_cdf(x,m,MM)
pearson7_cdf.m - compute Pearson VII Cumulative Distribution Function.
-
pearson7_pdf(x, m, MM)
pearson7_pdf.m - evaluates the Pearson 7 Probability Density.
-
pearson8_cdf(x, a, b)
pearson8_cdf.m - evaluates a Pearson VIII Cumulative Distribution.
-
pearson8_pdf(x, a, b)
pearson8_pdf.m - evaluates a Pearson VIII Probability Density.
-
pearson9_cdf(x, a, b)
pearson9_cdf.m - evaluates a Pearson IX Cumulative Distribution.
-
pearson9_pdf(x, a, b)
pearson9_pdf.m - evaluates a Pearson IX Probability Density.
-
pebl_cdf(n,omega)
pebl_cdf.m - compute Poisson Exponential Binomial Limit Cumulative Distribution Function.
-
pebl_pdf(n, omega)
pebl_pdf.m - evaluates a Poisson Exponential Binomial Limit Probability Density.
-
perksym_cdf(x,a)
perksym_cdf.m - compute Perks Symmetrical Cumulative Distribution Function.
-
perksym_pdf(x, a)
perksym_pdf.m - evaluates a Perks Symmetrical Probability Density.
-
pert_cdf(x, mo, a, b)
pert_cdf.m - evaluates a PERT Cumulative Distribution.
-
pert_pdf(x, mo, a, b)
pert_pdf.m - evaluates a PERT Probability Density.
-
pfq(a,b,z,d)
PFQ Generalized Hypergeometric Function pFq
-
phani_cdf(x, a, b, bet, lambd...
phani_cdf.m - evaluates a Phani Weibull Cumulative Distribution.
-
phani_pdf(x, a, b, bet, lambd...
phani_pdf.m - evaluates a Phani Weibull Probability Density.
-
pig_cdf(n, alpha, theta)
pig_cdf.m - compute Poisson Inverse Gaussian (PIG) Cumulative Distribution Function.
-
pig_pdf(n, alpha, theta)
pig_pdf.m - evaluates a Poisson Inverse Gaussian (PIG) Probability Density.
-
pigam_cdf(n,mu,alpha)
pigam_cdf.m - compute Poisson Inverse Gamma Cumulative Distribution Function.
-
pigam_pdf(n, mu, alpha)
pigam_pdf.m - evaluates a Poisson Inverse Gamma Probability Density.
-
planck_cdf(x,A,B)
planck_cdf.m - compute Plank Cumulative Distribution Function.
-
planck_pdf(x,A,B);
PLANCK_PDF evaluates the Planck PDF. Vector Form!
-
poisbesl_int_cdf(n,a,b,t,p)
poisbesl_int_cdf.m - computes a discrete Poisson Bessel Cumulative Distribution Function.
-
poisbesl_int_pdf(n, a, b, t, ...
poisbesl_int.m - tests a Poisson Bessel Probability Density.
-
poisbet_cdf(n,phi,a,b)
poisbet_cdf.m - compute Poisson Beta mix Cumulative Distribution Function.
-
poisbet_pdf(n, phi, a, b)
poisbet_pdf.m - evaluates a Poisson Beta Mix Probability Density.
-
poisbeta2_cdf(n,m,nu)
poisbeta2_cdf.m - compute Poisson Beta 2 Cumulative Distribution Function.
-
poisbeta2_pdf(n, m, nu)
poisbeta2_pdf.m - evaluates a Poisson Beta2 Probability Density.
-
poisbin2_cdf(n,lambda,q,nn,nm...
poisbin2_cdf.m - compute Poisson Binomial 2 Cumulative Distribution Function.
-
poisbin2_pdf(n, lambda, q, nn...
poisbin2_pdf.m - evaluates a Poisson Binomial 2 Probability Density.
-
poisbin_cdf(n,theta,q,nn)
poisbin_cdf.m - compute Poisson Binomial Cumulative Distribution Function.
-
poisbin_pdf(n, theta, q, nn)
poisbin_pdf.m - evaluates a Poisson Binomial Probability Density.
-
poisbinmix_cdf(n,phi,q,nn)
poisbinmix_cdf.m - compute Poisson Binomial Mix Cumulative Distribution Function.
-
poisbinmix_pdf(n, phi, q, nn)
poisbinmix_pdf.m - evaluates a Poisson Binomial Mix Probability Density.
-
poischi_int_cdf(n,b,t,p)
poisgam_int_cdf.m - computes a discrete Poisson Chi Cumulative Distribution Function.
-
poischi_int_pdf(n, b, t, p)
poischi_int_pdf.m - evaluates a Poisson Chi Probability Density.
-
poisdiff_cdf(n,lambda1,lambda...
poisdiff_cdf.m - compute Poisson Difference Cumulative Distribution Function.
-
poisdiff_pdf(n, lambda1, lamb...
poisdiff_pdf.m - evaluates a Poisson Difference Probability Density.
-
poisdlog_cdf(n, alpha, rho)
poisdlog_cdf.m - compute Poisson Discrete Logarithmic Cumulative Distribution Function.
-
poisdlog_pdf(n, alpha, rho)
poisdlog_pdf.m - evaluates a Poisson Discrete Logartihmic Probability Density.
-
poisf_cdf(n,k1,k2)
poisf_cdf.m - compute Poisson F Cumulative Distribution Function.
-
poisf_pdf(n, k1, k2)
poisf_pdf.m - evaluates a Poisson F Probability Density.
-
poisgam_cdf(x,b,n,p)
poisgam_cdf.m - compute Poisson Gamma Cumulative Distribution Function.
-
poisgam_int_cdf(n,b,t,p)
poisgam_int_cdf.m - computes a discrete Poisson Gamma Cumulative Distribution Function.
-
poisgam_int_pdf(n, b, t, p)
poisgam_int_pdf.m - evaluates a discrete Poisson Gamma Probability Density.
-
poisgam_pdf(x, b, n, p)
poisgam_pdf.m - evaluates a Poisson Gamma Probability Density.
-
poisgengam_int_cdf(n,a,b,t,p)
poisgengam_int_cdf.m - computes a discrete Poisson Generalized Gamma Cumulative Distribution Function.
-
poisgengam_int_pdf(n, a, b, t...
poisgengam_int_pdf.m - evaluates a discrete a Poisson Generalized Gamma Probability Density.
-
poishyper_cdf(n, N, Np, nn, p...
poishyper_cdf.m - compute Poisson Hypergeometric Cumulative Distribution Function.
-
poishyper_pdf(n, N, Np, nn, p...
poishyper_pdf.m - evaluates a Poisson Hypergeometric Probability Density.
-
poiskatz_cdf(n,lambda,alpha,b...
poiskatz_cdf.m - compute Poisson Katz Cumulative Distribution Function.
-
poiskatz_pdf(n, lambda, alpha...
poiskatz_pdf.m - evaluates a Poisson Katz Probability Density.
-
poislgn_cdf(n, mu, sigma)
poislgn_cdf.m - evaluates a Poisson Lognormal Cumulative Distribution.
-
poislgn_pdf(n, mu, sigma)
poislgn_pdf.m - evaluates a Poisson Lognormal Probability Density.
-
poislind_cdf(n,alpha)
poislind_cdf.m - compute Poisson Lindley Cumulative Distribution Function.
-
poislind_pdf(n, alpha)
poislind_pdf.m - evaluates a Poisson Lindley Probability Density.
-
poislog_cdf(n,lambda,phi)
poislog_cdf.m - compute Poisson Logarithmic Cumulative Distribution Function.
-
poislog_pdf(n, lambda, phi)
poislog_pdf.m - evaluates a Poisson Logarithmic Probability Density.
-
poislomax_cdf(n,c,nn)
poislomax_cdf.m - compute Poisson Lomax Cumulative Distribution Function.
-
poislomax_pdf(n, c, nn)
poislomax_pdf.m - evaluates a Poisson Lomax Probability Density.
-
poismix_cdf(n,lambda,alpha,m,...
poismix_cdf.m - compute Poisson Mixture Cumulative Distribution Function.
-
poismix_pdf(n, lambda, alpha,...
test_poismix.m - tests a Poisson Mixture Probability Density.
-
poisnbin_cdf(n,p,P,m,k)
poisnbin_cdf.m - compute Poisson Negative binomial Cumulative Distribution Function.
-
poisnbin_pdf(n, theta, P, k)
poisnbin_pdf.m - evaluates a Poisson Negative Binomial Probability Density.
-
poisordk_cdf(n,k,lambda)
poisordk_cdf.m - compute Poisson Order k Cumulative Distribution Function.
-
poisordk_pdf(n, k, lambda)
poisordk_pdf.m - evaluates a Poisson Order K Probability denisity.
-
poispar_cdf(n,mu,alpha,bet)
poispar_cdf.m - compute Poisson (Generalized) Pareto Cumulative Distribution Function.
-
poispar_pdf(n, mu, alpha, bet...
poispar_pdf.m - evaluates a Poisson (Generalized) Pareto Probability Density.
-
poispas_cdf(n,theta,Q,k,nmax)
poispas_cdf.m - compute Poisson Pascal Cumulative Distribution Function.
-
poispas_pdf(n, theta, P, k, n...
poispas_pdf.m - evaluates a Poisson Pascal Probability Density.
-
poispear1_int_cdf(n,a,b,t,p,q...
poispear1_int_cdf.m - computes a discrete Poisson Pearson 1 Cumulative Distribution Function.
-
poispear1_int_pdf(n, a, b, t,...
poispear1_int_pdf.m - tests a Poisson Pearson I Probability Density.
-
poispear3_int_cdf(n,a,b,t,p)
poispear3_int_cdf.m - computes a discrete Poisson Pearson3 Cumulative Distribution Function.
-
poispear3_int_pdf(n,a,b,t,c)
poispear3_int_pdf.m - evaluates a Discrete Poisson Pearson III Probability Density.
-
poispear6_int_cdf(n,a,b,t,c,d...
poispear6_int_cdf.m - computes a discrete Poisson Pearson6 Cumulative Distribution Function.
-
poispear6_int_pdf(n, a, b, t,...
poispear6_int_pdf.m - evaluates a Poisson Pearson V Probability Density.
-
poispois_cdf(n, lambda, theta...
poispois_cdf.m - compute Poisson-Poisson Cumulative Distribution Function.
-
poispois_pdf(n, lambda, theta...
poispois_pdf.m - evaluates a Poisson-Poisson Probability Density.
-
poispoly_cdf(n,theta,a)
poispoly_cdf.m - compute Poisson Polynomial Cumulative Distribution Function.
-
poispoly_pdf(n, theta, a)
poispoly_pdf.m - evaluates a Poisson Polynomial Probability Density.
-
poiss_cdf(x,lambda)
POISS_CDF Poisson cumulative distribution function.
-
poiss_pdf(x,lambda)
POISS_PDF Poisson probability density function.
-
poisshpar_cdf(x,mu,n,alpha)
poisshpar_cdf.m - compute Poisson Shifted Pareto Cumulative Distribution Function.
-
poisshpar_pdf(x, mu, n, alpha...
poisshpar_pdf.m - evaluates a Poisson Shifted Pareto Probability Density.
-
poistgam_cdf(n,a,b,p,t)
poistgam_cdf.m - compute Poisson Truncated Gamma Cumulative Distribution Function.
-
poistgam_pdf(n, a, b, p, t)
poistgam_pdf.m - evaluates a Poisson Truncated Gamma Probability Density.
-
poistnorm_cdf(n,mu,sigma,nn)
poistnorm_cdf.m - compute Poisson Truncated Normal Cumulative Distribution Function.
-
poistnorm_pdf(n, mu, sigma, n...
poistnorm_pdf.m - evaluates a Poisson Truncated Normal Probability Density.
-
polya_cdf(x,bet,lambda,theta)
polya_cdf.m - compute Polya-Aeppli Cumulative Distribution Function.
-
polya_pdf(x, bet, lambda, the...
polya_pdf.m - evaluates a Polya-Aeppli Probability Density.
-
polyaurn_cdf(n,nn,w,b,c)
polyaurn_cdf.m - compute Polya Urn Cumulative Distribution Function.
-
polyaurn_pdf(n, nn, w, b, c)
polyaurn_pdf.m - evaluates a Polya Urn Probability Density.
-
polyfit2w(x,y,z,w,n,m)
POLYFIT2W finds the polynomial coefficients of a
-
polyval2d(c,x,y)
z = POLYVAL2D(V,sx,sy) Two dimensional polynomial evaluation.
-
poshyper_cdf(n,nn,N, Np)
poshyper_cdf.m - compute Positive Hypergeometricn Cumulative Distribution Function.
-
poshyper_pdf(n, nn, N, Np)
polyaurn_pdf.m - evaluates a Positive Hypergeometric Probability Density.
-
power_cdf(x, c, b)
power_cdf.m - evaluates a Cumulative Power-Distribution.
-
power_pdf(x, c, b)
power_pdf.m - evaluates a Power-Probability Density.
-
powertail_cdf(x, theta, gam, ...
powertail_cdf.m - evaluates a Power Tail Cumulative Distribution.
-
powertail_pdf(x, theta, gam, ...
powertail_pdf.m - evaluates a Power tail Probability Density.
-
powexp_cdf(x,mu,sigma,nu)
powexp_cdf.m - compute Power ExponentialCumulative Distribution Function.
-
powexp_pdf(x, mu, sigma, nu)
powexp_pdf.m - evaluates an Power Exponential Probability Density.
-
powlognorm_cdf(x, p, sigma, l...
powlognorm_cdf.m - compute Power Lognormal Cumulative Distribution Function.
-
powlognorm_pdf(x, p, sigma, l...
powlognorm_pdf.m - evaluates a Power Lognormal Probability Density.
-
pownorm_cdf(x, p, mu, sigma)
pownorm_cdf.m - compute Power Normal Cumulative Distribution Function.
-
pownorm_pdf(x, p, mu, sigma)
pownorm_pdf.m - evaluates a Power Normal Probability Density.
-
psi(z)
Psi Psi (or Digamma) function valid in the entire complex plane.
-
psin(n,z)
Psin Arbitrary order Polygamma function valid in the entire complex plane.
-
ptad_cdf(x, theta, gam, N)
ptad_cdf.m - evaluates a Power Tail Cumulative Distribution.
-
ptad_pdf(x, theta, gam, N)
ptad_pdf.m - evaluates a Power tail Probability Density.
-
qb3_cdf(n,p,phi,nn)
qb3_cdf.m - compute Quasi Binomial III Cumulative Distribution Function.
-
qb3_pdf(n, p, phi, nn)
qb3_pdf.m - evaluates a Quasi Binomial IIII Probability Density.
-
qb4_cdf(n,p,phi,nn)
qb4_cdf.m - compute Quasi Binomial IV Cumulative Distribution Function.
-
qb4_pdf(n, p, phi, nn)
qb4_pdf.m - evaluatess a Quasi Binomial IV Probability Density.
-
qb_cdf(n,p,s,t,phi,nn)
qb_cdf.m - compute Quasi Binomial Cumulative Distribution Function.
-
qb_pdf(n, p, s, t, phi, nn)
qb_pdf.m - evaluates a Quasi Binomial Probability Density.
-
qbaildaum_pdf(n, a, q)
qbaildaum_pdf.m - evaluates a q-Bailey Daum Probability Density.
-
qbetageom_cdf(n,rho,u,m)
qbetageom_cdf.m - compute q-Beta Geometric Cumulative Distribution Function.
-
qbetageom_pdf(n, rho, u, m)
qbetageom_pdf.m - evaluates a q-Beta Geometric Probability Density.
-
qbinom1_cdf(n,theta,lambda,nn...
qbinom1_cdf.m - compute q-Binomial I Cumulative Distribution Function.
-
qbinom1_pdf(n, theta, lambda,...
qbinom1_pdf.m - evaluates a q-Binomial I Probability Density.
-
qbinom22_cdf(n,phi,rho,nn)
qbinom22_cdf.m - compute q-Binomial II Cumulative Distribution Function.
-
qbinom22_pdf(n, phi, rho, nn)
qbinom22_pdf.m - tests a q-Binomial II Probability Density.
-
qbinom2_cdf(n,theta,lambda,nn...
qbinom2_cdf.m - compute q-Binomial II Cumulative Distribution Function.
-
qbinom2_pdf(n, theta, lambda,...
qbinom2_pdf.m - evaluates a q-Binomial II Probability Density.
-
qbinomial_cdf(n, nn, q, theta...
qbinomial_cdf.m - compute q-Binomial Cumulative Distribution Function.
-
qbinomial_coef(x, k, q)
qbinomial_coef.m - compute q-binomial coefficient.
-
qbinomial_pdf(n, nn, q, theta...
qbinomial_pdf.m - evaluates a q-Binomial Probability Density.
-
qccvii_cdf(n, eta, q, b)
qccvii_cdf.m - compute QCCV-II Cumulative Distribution Function.
-
qccvii_pdf(n, eta, q, b)
qccvii_pdf.m - evaluates a q-CCV-II Probability Density.
-
qccviii_cdf(n, c, q, nn)
qccviii_cdf.m - compute QCCV-III Cumulative Distribution Function.
-
qccviii_pdf(n, c, q, nn)
test_qccviii.m - evaluates a q-CCV-III Probability Density.
-
qchuvan_cdf(n,c,q,tsi)
qchuvan_cdf.m - compute q-Chu Vandermode Cumulative Distribution Function.
-
qchuvan_pdf(n, c, q, tsi)
qchuvan_pdf.m - evaluates a q-Chu Vandermode Probability Density.
-
qcontag_cdf(n,N,m,s,u,q)
qcontag_cdf.m - compute a q-Eggenberger Polya Urn (q-contafgious) Cumulative Distribution Function.
-
qcontag_pdf(n, N, m, s, u, q)
qcontag_pdf.m - evaluates an q-Eggenberger Polya Urn (q-contagious)Probability Density.
-
qdefbinom_cdf(n,q,m,tau)
qdefbinom_cdf.m - compute q-Deformed Binomial Cumulative Distribution Function.
-
qdefbinom_pdf(n, q, m, tau)
qdefbinom_pdf.m - evaluates a q-Deformed Binomial Probability Density.
-
qdisunifr_cdf(n,M,nn,q)
qdisunifr_cdf.m - compute a q-Discrete Uniform Range Cumulative Distribution Function.
-
qdisunifr_pdf(n, M, nn, q)
qdisunifr_pdf.m - evaluates a q-Discrete Uniform Range Probability Density.
-
qhyper1_cdf(n, s, r, m, nn)
qhyper1_cdf.m - compute quasi-Hypergeometric (-Polya) Cumulative Distribution Function.
-
qhyper1_pdf(n, s, r, m, nn)
qhyper1_pdf.m - evaluates a quasi-Hypergemoertic (-Polya) II Probability Density.
-
qhyper2_cdf(n, s, r, m, nn)
qhyper2_cdf.m - compute quasi-Hypergeometric (-Polya) II Cumulative Distribution Function.
-
qhyper2_pdf(n, s, r, m, nn)
qhyper2_pdf.m - evaluates a quasi-Hypergemoertic (-Polya) II Probability Density.
-
qnarayana_cdf(n,q,k,nmax)
qnarayana_cdf.m - evaluates a q-Narayana Cumulative Distribution.
-
qnarayana_pdf(n, q, k, nmax)
qnarayana_pdf.m - evaluates a q-Narayana Probability denisity.
-
qnegbinom_cdf(n, nn, q, theta...
qnegbinom_cdf.m - compute a q-Negative Binomial Cumulative Distribution Function.
-
qnegbinom_pdf(n, k, q, theta)
qnegbinom_pdf.m - evaluates a q-Negative Binomial Probability Density.
-
qnorm_pdf(n, N, m, s, u, q)
qnorm_pdf.m - evaluates a q-normal Probability Density.
-
qpascal_cdf(n, nn, q, theta)
qpascal_cdf.m - compute q-Pascal Cumulative Distribution Function.
-
qpascal_pdf(n, nn, q, theta)
qpascal_pdf.m - evaluates a q-Pascal Probability Density.
-
quasibin1_cdf(n, m, p, phi)
quasibin1_cdf.m - compute Quasi-Binomial I Cumulative Distribution Function.
-
quasibin1_pdf(n, m, p, phi)
quasibin1_pdf.m - evaluates a Quasi-Binomial I Probability Density.
-
qunif_cdf(n,M,q)
qunif_cdf.m - compute a q-Uniform Cumulative Distribution Function.
-
qunif_pdf(n, M, q)
qunif_pdf.m - evaluates a q-Uniform Probability Density.
-
r_cdf(x, nn)
r_cdf.m - evaluates an r Cumulative distribution.
-
r_pdf(x, nn)
r_pdf.m - evaluates an r Probability Density.
-
raisdcos_cdf(x, mu, s)
raisdcos_cdf.m - evaluates a Raised Cosine Cumulative Distribution.
-
raisdcos_pdf(x, mu, s)
raisdcos_pdf.m - evaluates a Raised Cosine Probability Density.
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range_cdf(x)
range_cdf.m - evaluates a Range Cumulative Distribution.
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range_pdf(x)
range_pdf.m - evaluates a Range Probability Density.
-
rayleigh_cdf(x, sigma)
cayleigh_cdf.m - evaluates a Rayleigh Cumulative Distribution.
-
rayleigh_pdf(x, sigma)
rayleigh_pdf.m - evaluates a Rayleigh Probability Density.
-
recip_cdf(x, b)
recip_cdf.m - evaluates a Cumulative Reciprocal-Distribution.
-
recip_pdf(x, b)
recip_pdf.m - evaluates a Reciprocal Probability Density.
-
rectbin_cdf(n,nn,p,m)
rectbin_cdf.m - compute Rectangular Binomial Cumulative Distribution Function.
-
rectbin_pdf(n, nn, p, m)
rectbin_pdf.m - evaluates a Rectangular Binomial Probability Density.
-
rectbint_cdf(n,nn,p,m)
rectbint_cdf.m - compute Rectangular Binomial (Transformed) Cumulative Distribution Function.
-
rectbint_pdf(n, nn, p, m)
rectbint_pdf.m - evaluates a Rectangular Binomial (Transformed) Probability Density.
-
rectline_cdf(x,w,h)
rectline_cdf.m - compute Rectangle-Line Cumulative Distribution Function.
-
rectline_pdf(x, w, h)
rectline_pdf.m - evaluates a Rectangle-Line Probability Density.
-
rectnegbin_cdf(n,nn,p,k)
rectnegbin_cdf.m - compute Rectangular Negative Binomial Cumulative Distribution Function.
-
rectnegbin_pdf(n, nn, p, k)
rectnegbin_pdf.m - evaluates a Rectangular Negative Binomial Probability Density.
-
rectpois_cdf(n,nn,lambda)
rectpois_cdf.m - compute Rectangular Binomial Cumulative Distribution Function.
-
rectpois_pdf(n, nn, lambda)
rectpois_pdf.m - evaluates a Rectangular Poisson Probability Density.
-
rectpoist_cdf(n,nn,lambda)
rectpoist_cdf.m - compute Rectangular Binomial (Transformed) Cumulative Distribution Function.
-
rectpoist_pdf(n, nn, lambda)
rectpoist_pdf.m - evaluates a Rectangular Poisson (Transformed) Probability Density.
-
reflgam_cdf(x,alpha,bet,gam)
reflgam_cdf.m - compute Reflected Gamma Cumulative Distribution Function.
-
reflgam_pdf(x, alpha, bet, ga...
reflgam_pdf.m - evaluates a Reflected Gamma Probability Density.
-
reflpow_cdf(x, a, b, c)
reflpow_cdf.m - evaluates a Reflected Power Cumulative Distribution.
-
reflpow_pdf(x, a, b, c)
reflpow_pdf.m - evaluates a Reflected Power Probability Density.
-
relbw_cdf(x, M, Gamm)
relbw_cdf.m - evaluates a Relativistic Breit Wigner Cumulative Distribution.
-
relbw_pdf(x, M, Gamm)
relbw_pdf.m - evaluates a Relativistic Breit Wigner Probability Density.
-
revgum_cdf(x, mu, sigma)
revgum_cdf.m - compute reverse Gumbel Cumulative Distribution Function.
-
revgum_pdf(x, mu, sigma)
revgum_pdf.m - evaluates a Reverse Gumbel Probability Density.
-
rgentopleon_cdf(x, alpha, bet...
rgentopleon_cdf.m - evaluates a Reflected Generalized Topp and Leone Cumulative Distribution.
-
rgentopleon_pdf(x, alpha, bet...
rgentopleon_pdf.m - evaluates a Reflected Generalized Topp and Leone Probability Density.
-
rgp_cdf(n,a,alpha)
rgp_cdf.m - compute Restricted Generalized Poisson Cumulative Distribution Function.
-
rgp_pdf(n, a, alpha)
rgp_pdf.m - evaluates a Restricted Generalized Poisson Probability Density.
-
rician_cdf(x, m, sigma)
Rician_cdf.m computes the rician CDF.
-
rician_pdf(x, m, sigma)
rician_pdf.m - evaluates a Rician Probability Distribution.
-
riffshuf_cdf(n,a,nn)
riffshuf_cdf.m - compute Riff Shuffle Cumulative Distribution Function.
-
riffshuf_pdf(n, a, nn)
riffshuf_pdf.m - evaluates a Riff Shuffle Probability Density.
-
rig_cdf(x,alpha,bet,delta)
rig_cdf.m - compute Rician Inverse Gaussian Cumulative Distribution Function.
-
rig_pdf(x, alpha, bet, delta)
rig_pdf.m - evaluates a Rician Inverse Gaussian Probability Density.
-
rinvgaus_cdf(x, gamma, mu)
rinvgaus_cdf.m - evaluates a Cumulative Reciprocal Inverse Gaussian Distribution.
-
rinvgaus_pdf(x, gamma, mu)
rinvgaus_pdf.m - evaluates a Reciprocal Inverse Gauusian Probability Density.
-
rosin_cdf(x,q,D)
rosin_cdf.m - compute Rosin-Rammler Power Cumulative Distribution Function.
-
rosin_pdf(x, q, D)
rosin_pdf.m - evaluates a Rosin-Rammler Probability Density.
-
rtpois_cdf(n, n0, n1)
runs_cdf.m - compute Runs (Ising-Stevens) Cumulative Distribution Function.
-
rtpois_cdf(n, theta, r2)
rtpois_cdf.m - compute Right-Truncated Poisson Cumulative Distribution Function.
-
rtpois_pdf(n, theta, r2)
rtpois_pdf.m - evaluates a Right Truncated Poisson Probability Density.
-
rtrunray_cdf(x, sigma, D)
rtrunray_cdf.m - evaluates a Right-Truncated Rayleigh Cumulative Distribution.
-
rtrunray_pdf(x, sigma, D)
rtrunray_pdf.m - tests a Right-Truncated Rayleigh Probability Density.
-
runs_pdf(n, n0, n1)
runs_pdf.m - evaluates a Runs (Ising-Stevens) Probability Density.
-
rutherford_cdf(n,c,p,nn)
rutherford_cdf.m - compute Rutherford Urn Cumulative Distribution Function.
-
rutherford_pdf(n, c, p, nn)
rutherford_pdf.m - evaluates a Rutherford Urn Probability denisity.
-
rwalkrng_cdf(x, argt)
rwalkrng_cdf.m - evaluates a Random Walk Range Cumulative Distribution.
-
sbgsd_cdf(n, alpha)
sbgsd_cdf.m - evaluates a Size-Biased Geometric Series Distribution Cumulative Distribution.
-
sbgsd_pdf(n, alpha)
sbgsd_pdf.m - evaluates a Size-Biased Geometric Series Distribution Probability Density.
-
scalchi_cdf(x,k,sigma)
scalchi_cdf.m - compute Scaled Chi Cumulative Distribution Function.
-
scalchi_pdf(x, k, sigma)
scalchi_pdf.m - evaluates a Scaled Chi Probability Density.
-
scalchisq_cdf(x,k,sigma)
scalchisq_cdf.m - compute Scaled Chi Square Cumulative Distribution Function.
-
scalchisq_pdf(x, k, sigma)
scalchisq_pdf.m - evaluates a Scaled Chi-Square Probability Density.
-
scbirnsan_cdf(x,alpha,bet)
scbirnsan_cdf.m - compute Special Case Birnbaum Sanders Cumulative Distribution Function.
-
scbirnsan_pdf(x, alpha, bet)
scbirnsan_pdf.m - evaluates a Special Case Birnbaum Sanders Probability Density.
-
schmeis_cdf(xv,p_value)
schmeis_cdf.m - Schmeiser-Deutsch Cumulative Distribution Function.
-
schmeis_rnd(p_value,nsamples)
schmeis_rnd.m - generates 'nsamples' of a Schmeiser-Deutsch random variable.
-
scinvchi_cdf(x,k,theta)
scinvchisq_cdf.m - compute Scaled Inverse Chi Square Cumulative Distribution Function.
-
scinvchi_pdf(x, k, sigma)
scinvchi_pdf.m - evaluates a Scaled Inverse Chi Probability Density.
-
scinvchisq_cdf(x,k,theta)
scinvchisq_cdf.m - compute Scaled Inverse Chi Square Cumulative Distribution Function.
-
scinvchisq_pdf(x, k, sigma)
scinvchisq_pdf.m - evaluates a Scaled Inverse Chi Square Probability Density.
-
sech_cdf(x, a, b)
sech_cdf.m - evaluates a Cumulative Hyperbolic Secant Probability Distribution.
-
sech_pdf(x, a, b);
sech_pdf.m - evaluates a Hyperbolic Secant Probability Density Function.
-
semicir_cdf(x)
semicir_cdf.m - evaluates a Cumulative Semicircular Distribution.
-
semicir_pdf(x)
semicir_pdf.m - evaluates a Semicircular Probability Density.
-
sged_cdf(x, mu, sigma, k, lam...
sged_cdf.m - compute Skewed Generalized Error Cumulative Distribution Function.
-
sged_pdf(x, mu, sigma, k, lam...
sged_pdf.m - evaluates a Skewed Generalized Error Distribution Probability Density.
-
shenton_cdf(n, nn, p, m)
shenton_cdf.m - compute Shenton Cumulative Distribution Function.
-
shenton_pdf(n, nn, p, m)
shenton_pdf.m - evaluates a Shenton Probability Density.
-
shftexp_cdf(x, a, theta)
wilhil_cdf.m - evaluates a Shifted Exponential Cumulative Distribution.
-
shftexp_pdf(x, a, theta)
wilhil_pdf.m - evaluatess a Shifted Exponential Probability Density.
-
shftpar_cdf(x, alpha, mu)
shftpar_cdf.m - evaluates a Shifted Pareto Cumulative Distribution.
-
shftpar_pdf(x, alpha, mu)
shftpar_pdf.m - evaluates a Shifted Pareto Probability Density.
-
shiftgomp_cdf(x, b, eta)
shiftgomp_cdf.m - evaluates a Shifted Gompertz Cumulative Distribution.
-
shiftgomp_pdf(x, b, eta)
shiftgomp_pdf.m - evaluates a Shifted Gompertz Probability Density.
-
shlogzero_cdf(n, theta, k)
shlogzero_cdf.m - compute Shfted Log Zero Cumulative Distribution Function.
-
shlogzero_pdf(n, theta, k)
shlogzero_pdf.m - evaluates a Shifted Log Zero Probability Density.
-
shrician_cdf(x,b0,m,omega)
shrician_cdf.m - compute Shadowed Rician Cumulative Distribution Function.
-
shrician_pdf(x, b0, m, omega)
shrician_pdf.m - evaluates a Shadowed Rician Probability Density.
-
shsk1_cdf(n, a, p, theta)
shsk1_cdf.m - compute Shenton & Skees I Cumulative Distribution Function.
-
shsk1_pdf(n, a, p, theta)
shsk1_pdf.m - evaluates a Shenton & Skees I Probability Density.
-
shsk2_cdf(n, a, b, theta)
shsk2_cdf.m - compute Shenton & Skees II Cumulative Distribution Function.
-
shsk2_pdf(n, a, b, theta)
shsk2_pdf.m - evaluates a Shenton & Skees II Probability Density.
-
sibuya_cdf(n, gamma)
sibuya_cdf.m - compute Sibuya Cumulative Distribution Function.
-
sibuya_pdf(n, gama)
sibuya_pdf.m - evaluates a Sibuya Probability Density.
-
sichel_cdf(n, nu, theta, bet)
sichel_cdf.m - compute Sichel (GIGP) Cumulative Distribution Function.
-
sichel_pdf(n, nu, theta, bet)
sichel_pdf.m - evaluates a Sichel (GIGP) Probability Density.
-
simon_cdf(n, alpha)
simon_cdf.m - compute a Simon Cumulative Distribution Function.
-
simon_pdf(n, alpha)
simon_pdf.m - evaluates a Simon Probability Density.
-
simpbin_cdf(n, nn, mu, sigma)
simpbin_cdf.m - compute Simplex Binomial Cumulative Distribution Function.
-
simpbin_pdf(n, nn, mu, sigma)
simpbin_pdf.m - evaluates a Simplex Binomial Probability Density.
-
simplex_cdf(x,sigma, mu)
simplex_cdf.m - compute Leipnik Cumulative Distribution Function.
-
simplex_pdf(x, sigma, mu)
simplex_pdf.m - evaluates a simplex Probability Density.
-
simps(x,y,dim)
SIMPS Simpson's numerical integration.
-
singh_cdf(n, a, alpha)
singh_cdf.m - compute Singh Poisson Cumulative Distribution Function.
-
singh_pdf(n, a, alpha)
singh_pdf.m - evaluates a Singh Poisson Probability Density.
-
singhm_cdf(x, a, b, q)
singhm_cdf.m - evaluates a Cumulative Singh-Maddala Distribution.
-
singhm_pdf(x, a, b, q);
singhm_pdf.m - evaluates a Singh-Maddala Probability density Distribution.
-
sinhnorm_cdf(x,alpha,gam,sigm...
sinhnorm_cdf.m - compute Sinh Normal Cumulative Distribution Function.
-
sinhnorm_pdf(x, alpha, gam, s...
sinhnorm_pdf.m - evaluates a Sinh Normal Probability Density.
-
skellam_cdf(n, mu1, mu2)
skellam_cdf.m - compute Skellam Distribution Function.
-
skellam_pdf(n, mu1, mu2)
skellam_pdf.m - evaluates a Skellam Probability Density.
-
skewgent_cdf(x, mu, sigma, n,...
skewgent_cdf.m - compute Skewed Generalized T Cumulative Distribution Function.
-
skewgent_pdf(x, mu, sigma, n,...
skewgent_pdf.m - evaluates a Skewed Generalized T Probability Density.
-
skewgent_pdf(x, mu, sigma, n,...
skewgent_pdf.m - evaluates a Skewed Generalized T Probability Density.
-
skewlapl_cdf(x, alpha, bet, m...
skwewlapl_cdf.m - compute Skew LaPlace Cumulative Distribution Function.
-
skewlapl_cdf(x, alpha, bet, m...
skwewlapl_cdf.m - compute Skew LaPlace Cumulative Distribution Function.
-
skewlapl_cdf(x, alpha, bet, m...
skwewlapl_cdf.m - compute Skew Laplace Cumulative Distribution Function.
-
skewlapl_cdf(x, alpha, bet, m...
skwewlapl_cdf.m - compute Skew Laplace Cumulative Distribution Function.
-
skewlapl_pdf(x, alpha, bet, m...
skewlapl_pdf.m - evaluates the Skew LaPlace Probability Density Function.
-
skewlapl_pdf(x, alpha, bet, m...
skewlapl_pdf.m - evaluates the Skew LaPlace Probability Density Function.
-
skewlapl_quad_pdf(x, alpha, b...
skewlapl_quad_pdf.m - evaluates the Skew LaPlace Probability Density Function.
-
skewlapl_quad_pdf(x, alpha, b...
skewlapl_quad_pdf.m - evaluates the Skew LaPlace Probability Density Function.
-
skewnorm_cdf(x,lambda)
skwewnorm_cdf.m - compute Skew Normal Cumulative Distribution Function.
-
skewnorm_cdf(x,lambda)
skwewnorm_cdf.m - compute Skew Normal Cumulative Distribution Function.
-
skewnorm_pdf(x, lambda)
skewnorm_pdf.m - evaluates the Skew Normal Probability Density Function.
-
skewnorm_pdf(x, lambda)
skewnorm_pdf.m - evaluates the Skew Normal Probability Density Function.
-
skewpe_cdf(x, mu, sigma, nu, ...
skewpe_cdf.m - compute Skew Power Exponential Cumulative Distribution Function.
-
skewpe_cdf(x, mu, sigma, nu, ...
skewpe_cdf.m - compute Skew Power Exponential Cumulative Distribution Function.
-
skewpe_pdf(x, mu, sigma, nu, ...
skewpe_pdf.m - evaluates a Skew Exponential Probability Density.
-
skewpe_pdf(x, mu, sigma, nu, ...
skewpe_pdf.m - evaluates a Skew Exponential Probability Density.
-
skewt_cdf(x, nu, lambda)
skwewt_cdf.m - compute Skew T Cumulative Distribution Function.
-
skewt_cdf(x, nu, lambda)
skwewt_cdf.m - compute Skew T Cumulative Distribution Function.
-
skewt_pdf(x, nu, lambda)
skewt_pdf.m - evaluates the Skew T Probability Density Function.
-
skewt_pdf(x, nu, lambda)
skewt_pdf.m - evaluates the Skew T Probability Density Function.
-
slash_cdf(x)
slash_cdf.m - compute Slash Cumulative Distribution Function.
-
slash_cdf(x)
slash_cdf.m - compute Slash Cumulative Distribution Function.
-
slash_pdf(x)
slash_pdf.m - evaluates a Slash Probability Density.
-
slash_pdf(x)
slash_pdf.m - evaluates a Slash Probability Density.
-
snvg_cdf(x,delta,c,lambda)
snvg_cdf.m - compute Symmetric Normal Variance Gamma Cumulative Distribution Function.
-
snvg_cdf(x,delta,c,lambda)
snvg_cdf.m - compute Symmetric Normal Variance Gamma Cumulative Distribution Function.
-
snvg_pdf(x, delta, c, lambda)
snvg_pdf.m - evaluates a Symmetric Normal Variance Gamma Probability Density.
-
snvg_pdf(x, delta, c, lambda)
snvg_pdf.m - evaluates a Symmetric Normal Variance Gamma Probability Density.
-
sobolevqr_cdf(x, p, q, r)
sobolevqr_cdf.m - evaluates a Sobolev q-r Cumulative Distribution.
-
sobolevqr_cdf(x, p, q, r)
sobolevqr_cdf.m - evaluates a Sobolev q-r Cumulative Distribution.
-
sobolevqr_pdf(x, p, q, r)
sobolevqr_pdf.m - evaluates a Sobolev q-r Probability Density.
-
sobolevqr_pdf(x, p, q, r)
sobolevqr_pdf.m - evaluates a Sobolev q-r Probability Density.
-
specocc_cdf(n, l, b, c)
specocc_cdf.m - compute Specified Occupancy Cumulative Distribution Function.
-
specocc_cdf(n, l, b, c)
specocc_cdf.m - compute Specified Occupancy Cumulative Distribution Function.
-
specocc_pdf(n, l, b, c)
specocc_pdf.m - evaluates a Specified Occupancy Probability Density.
-
specocc_pdf(n, l, b, c)
specocc_pdf.m - evaluates a Specified Occupancy Probability Density.
-
sqline_cdf(x)
sqline_cdf.m - evaluates a Square Line Picking Cumulative Distribution.
-
sqline_cdf(x)
sqline_cdf.m - evaluates a Square Line Picking Cumulative Distribution.
-
sqline_pdf(x)
sqline_pdf.m - evaluates a Square Line Picking Probability Density Function.
-
sqline_pdf(x)
sqline_pdf.m - evaluates a Square Line Picking Probability Density Function.
-
stable_rand(U, p_value);
stable_rand.m - sample random numbers from the Alpha-Stable (Levy) Distribution.
-
stable_rand(U, p_value);
stable_rand_ppf.m - sample random numbers from the Alpha-Stable (Levy) Distribution.
-
stable_rand(U, p_value);
stable_rand_ppf.m - sample random numbers from the Alpha-Stable (Levy) Distribution.
-
stable_rand(U, p_value);
stable_rand.m - sample random numbers from the Alpha-Stable (Levy) Distribution.
-
stacy_cdf(x,alpha,bet,theta,x...
stacy_cdf.m - compute Stacy Cumulative Distribution Function.
-
stacy_cdf(x,alpha,bet,theta,x...
stacy_cdf.m - compute Stacy Cumulative Distribution Function.
-
stacy_pdf(x, alpha, bet, thet...
stacy_pdf.m - evaluates a Stacy Probability Density.
-
stacy_pdf(x, alpha, bet, thet...
stacy_pdf.m - evaluates a Stacy Probability Density.
-
stevens_cdf(n, b, c)
stevens_cdf.m - compute Stevens craig (Occupied Cells) Cumulative Distribution Function.
-
stevens_cdf(n, b, c)
stevens_cdf.m - compute Stevens craig (Occupied Cells) Cumulative Distribution Function.
-
stevens_pdf(n, b, c)
stevens_pdf.m - evaluates a Stevens Craig (Occupied Cells) Probability Density.
-
stevens_pdf(n, b, c)
stevens_pdf.m - evaluates a Stevens Craig (Occupied Cells) Probability Density.
-
steyn2p_cdf(n,c,theta)
steyn2p_cdf.m - compute 2-parameter Steyn Logarithmic Cumulative Distribution Function.
-
steyn2p_cdf(n,c,theta)
steyn2p_cdf.m - compute 2-parameter Steyn Logarithmic Cumulative Distribution Function.
-
steyn2p_pdf(n, c, theta)
steyn2p_pdf.m - evaluates a 2-parameter Steyn Logarithmic Probability Density.
-
steyn2p_pdf(n, c, theta)
steyn2p_pdf.m - evaluates a 2-parameter Steyn Logarithmic Probability Density.
-
stirling1 ( n, m )
STIRLING1 computes the Stirling numbers of the first kind.
-
stirling1 ( n, m )
STIRLING1 computes the Stirling numbers of the first kind.
-
stirling1_cdf(n, nn, theta)
stirling1_cdf.m - compute Stirling Type 1 Cumulative Distribution Function.
-
stirling1_cdf(n, nn, theta)
stirling1_cdf.m - compute Stirling Type 1 Cumulative Distribution Function.
-
stirling1_pdf(n, nn, theta)
Stirling1_pdf.m - evaluates a Stirling Type 1 Probability Density.
-
stirling1_pdf(n, nn, theta)
Stirling1_pdf.m - evaluates a Stirling Type 1 Probability Density.
-
stirling2 ( n, m )
STIRLING2 computes the Stirling numbers of the second kind.
-
stirling2 ( n, m )
STIRLING2 computes the Stirling numbers of the second kind.
-
strchexp_cdf(x,bet,theta,xtre...
strchexp_cdf.m - compute Stretched Exponential Cumulative Distribution Function.
-
strchexp_cdf(x,bet,theta,xtre...
strchexp_cdf.m - compute Stretched Exponential Cumulative Distribution Function.
-
strchexp_pdf(x, bet, theta, x...
strchexp_pdf.m - evaluates a Stretched Exponential Probability Density.
-
strchexp_pdf(x, bet, theta, x...
strchexp_pdf.m - evaluates a Stretched Exponential Probability Density.
-
strctasin_cdf(n,alpha,p)
strctasin_cdf.m - compute Strict Arcsine Cumulative Distribution Function.
-
strctasin_cdf(n,alpha,p)
strctasin_cdf.m - compute Strict Arcsine Cumulative Distribution Function.
-
strctasin_pdf(n, alpha, p)
strctasin_pdf.m - evaluates a Strict Arcsine Probability Density.
-
strctasin_pdf(n, alpha, p)
strctasin_pdf.m - evaluates a Strict Arcsine Probability Density.
-
strunpear7_cdf(x, A, m, MM, g...
strunpear7_cdf.m - evaluates a Skewed Truncated Pearson VII Cumulative Distribution.
-
strunpear7_cdf(x, A, m, MM, g...
strunpear7_cdf.m - evaluates a Skewed Truncated Pearson VII Cumulative Distribution.
-
strunpear7_pdf(x, A, m, MM, g...
strunpear7_pdf.m - evaluates the Skewed Truncated Pearson VII Probability Density.
-
strunpear7_pdf(x, A, m, MM, g...
strunpear7_pdf.m - evaluates the Skewed Truncated Pearson VII Probability Density.
-
stsd1_cdf(x,mu,sigma,d)
stsd1_cdf.m - compute Short-Tailed Symmetric I Distribution Function.
-
stsd1_cdf(x,mu,sigma,d)
stsd1_cdf.m - compute Short-Tailed Symmetric I Distribution Function.
-
stsd1_pdf(x, mu, sigma, d)
stsd1_pdf.m -evaluates a Sort-Tail Symmetric I Probability Density.
-
stsd1_pdf(x, mu, sigma, d)
stsd1_pdf.m -evaluates a Sort-Tail Symmetric I Probability Density.
-
stsd2_cdf(x, k)
stsd2_cdf.m - evaluatess a Sort-Tail Symmetric II Cumulative Distribution.
-
stsd2_cdf(x, k)
stsd2_cdf.m - evaluatess a Sort-Tail Symmetric II Cumulative Distribution.
-
stsd2_pdf(x, k)
stsd2_pdf.m - evaluatess a Sort-Tail Symmetric II Probaility Density.
-
stsd2_pdf(x, k)
stsd2_pdf.m - evaluatess a Sort-Tail Symmetric II Probaility Density.
-
stsd3_cdf(x, k)
stsd3_cdf.m - evaluatess a Sort-Tail Symmetric III Cumulative Distribution.
-
stsd3_cdf(x, k)
stsd3_cdf.m - evaluatess a Sort-Tail Symmetric III Cumulative Distribution.
-
stsd3_pdf(x, k)
stsd3_pdf.m - evaluatess a Sort-Tail Symmetric III Probaility Density.
-
stsd3_pdf(x, k)
stsd3_pdf.m - evaluatess a Sort-Tail Symmetric III Probaility Density.
-
stsp_cdf(x,theta,n)
stsp_cdf.m - compute Standard Two-Sided Power Cumulative Distribution Function.
-
stsp_cdf(x,theta,n)
stsp_cdf.m - compute Standard Two-Sided Power Cumulative Distribution Function.
-
stsp_pdf(x, theta, n)
stsp_pdf.m - evaluates a Standard Two-Sided Power Probability Density.
-
stsp_pdf(x, theta, n)
stsp_pdf.m - evaluates a Standard Two-Sided Power Probability Density.
-
stutgenwar_cdf(n,k,a,c,m)
stutgenwar_cdf.m - evaluates a Stuttering Genralized Waring Cumulative Distribution.
-
stutgenwar_cdf(n,k,a,c,m)
stutgenwar_cdf.m - evaluates a Stuttering Genralized Waring Cumulative Distribution.
-
stutgenwar_pdf(n, k, a, c, m)
stutgenwar_pdf.m - evaluates a Stuttering Generalized Waring Probability denisity.
-
stutgenwar_pdf(n, k, a, c, m)
stutgenwar_pdf.m - evaluates a Stuttering Generalized Waring Probability denisity.
-
stutpois_cdf(n,k,lambda)
stutpois_cdf.m - compute Stuttering Poisson Cumulative Distribution Function.
-
stutpois_cdf(n,k,lambda)
stutpois_cdf.m - compute Stuttering Poisson Cumulative Distribution Function.
-
stutpois_pdf(n, k, lambda)
stutpois_pdf.m - evaluates a Stuttering Poisson Probability denisity.
-
stutpois_pdf(n, k, lambda)
stutpois_pdf.m - evaluates a Stuttering Poisson Probability denisity.
-
subbgeom_cdf(n,q)
subbgeom_cdf.m - compute Subcritical Branching Geometric Cumulative Distribution Function.
-
subbgeom_cdf(n,q)
subbgeom_cdf.m - compute Subcritical Branching Geometric Cumulative Distribution Function.
-
subbgeom_pdf(n, q)
subbgeom_pdf.m - evaluates a Subcritical Geometric Probability Density.
-
subbgeom_pdf(n, q)
subbgeom_pdf.m - evaluates a Subcritical Geometric Probability Density.
-
sudha_cdf(n, lambda)
sudha_cdf.m - compute Sudha Cumulative Distribution Function.
-
sudha_cdf(n, lambda)
sudha_cdf.m - compute Sudha Cumulative Distribution Function.
-
sudha_pdf(n, lambda)
sudha_pdf.m - tests a Sudha Probability Density.
-
sudha_pdf(n, lambda)
sudha_pdf.m - tests a Sudha Probability Density.
-
sunil_cdf(n,p,m)
sunil_cdf.m - compute Sunil Cumulative Distribution Function.
-
sunil_cdf(n,p,m)
sunil_cdf.m - compute Sunil Cumulative Distribution Function.
-
sunil_pdf(n, p, m)
test_sunil.m - tests a Ved Probability Density.
-
sunil_pdf(n, p, m)
test_sunil.m - tests a Ved Probability Density.
-
survivor_cdf(n,a,b,nn)
survivor_cdf.m - compute Survivor Cumulative Distribution Function.
-
survivor_cdf(n,a,b,nn)
survivor_cdf.m - compute Survivor Cumulative Distribution Function.
-
survivor_pdf(n, a, b, nn)
survivor_pdf.m - evaluates a Survivors Probability Density.
-
survivor_pdf(n, a, b, nn)
survivor_pdf.m - evaluates a Survivors Probability Density.
-
sz_cdf(x, n)
sz_cdf.m - compute Student's Z Cumulative Distribution Function.
-
sz_cdf(x, n)
sz_cdf.m - compute Student's Z Cumulative Distribution Function.
-
sz_pdf(x, n)
sz_pdf.m - evaluates a Student's Z Product Probability Density.
-
sz_pdf(x, n)
sz_pdf.m - evaluates a Student's Z Product Probability Density.
-
t3_cdf(x);
t3_cdf.m - evaluates a Student's Cumulative Distribution with 3 degrees of freedon.
-
t3_cdf(x);
t3_cdf.m - evaluates a Student's Cumulative Distribution with 3 degrees of freedon.
-
t3_pdf(x);
t3_pdf.m - evaluates a Student's Probability Density with 3 degrees of freedon.
-
t3_pdf(x);
t3_pdf.m - evaluates a Student's Probability Density with 3 degrees of freedon.
-
t_cdf(x,v);
T_CDF Student's T cumulative distribution function (cdf).
-
t_cdf(x,v);
T_CDF Student's T cumulative distribution function (cdf).
-
t_pdf(x,v)
T_PDF Probability density function (pdf) for Student's T distribution
-
t_pdf(x,v)
T_PDF Probability density function (pdf) for Student's T distribution
-
tadikab_cdf(xv,p_value)
tadikab_rnd.m - generates Tadikamalla-Johnson B Cumulative Distribution.
-
tadikab_cdf(xv,p_value)
tadikab_rnd.m - generates Tadikamalla-Johnson B Cumulative Distribution.
-
tadikab_rnd(p_value,nsamples)
tadikab_rnd.m - generates 'nsamples' of a Tadikamalla-Johnson B random variable.
-
tadikab_rnd(p_value,nsamples)
tadikab_rnd.m - generates 'nsamples' of a Tadikamalla-Johnson B random variable.
-
tadikal_cdf(xv,p_value)
tadikal_rnd.m - generates Tadikamalla-Johnson L Cumulative Distribution.
-
tadikal_cdf(xv,p_value)
tadikal_rnd.m - generates Tadikamalla-Johnson L Cumulative Distribution.
-
tadikal_rnd(p_value,nsamples)
tadikal_rnd.m - generates 'nsamples' of a Tadikamalla-Johnson L random variable.
-
tadikal_rnd(p_value,nsamples)
tadikal_rnd.m - generates 'nsamples' of a Tadikamalla-Johnson L random variable.
-
tadikau_cdf(xv,p_value)
tadikau_rnd.m - generates Tadikamalla-Johnson U Cumulative Distribution.
-
tadikau_cdf(xv,p_value)
tadikau_rnd.m - generates Tadikamalla-Johnson U Cumulative Distribution.
-
tadikau_rnd(p_value,nsamples)
tadikau_rnd.m - generates 'nsamples' of a Tadikamalla-Johnson U random variable.
-
tadikau_rnd(p_value,nsamples)
tadikau_rnd.m - generates 'nsamples' of a Tadikamalla-Johnson U random variable.
-
takacs_cdf(n, P, mu)
takacs_cdf.m - evaluates a Takacs Cumulative Distribution.
-
takacs_cdf(n, P, mu)
takacs_cdf.m - evaluates a Takacs Cumulative Distribution.
-
takacs_pdf(n, P, mu)
takacs_pdf.m - evaluates a Takacs Probability Density.
-
takacs_pdf(n, P, mu)
takacs_pdf.m - evaluates a Takacs Probability Density.
-
tapareto_cdf(x, a, bet, theta...
tapareto_cdf.m - compute Tapered Pareto Cumulative Distribution Function.
-
tapareto_cdf(x, a, bet, theta...
tapareto_cdf.m - compute Tapered Pareto Cumulative Distribution Function.
-
tapareto_pdf(x, a, bet, theta...
tapareto_pdf.m - compute Tapered Pareto Probability Density Function.
-
tapareto_pdf(x, a, bet, theta...
tapareto_pdf.m - compute Tapered Pareto Probability Density Function.
-
tardon2_cdf(x,a,b,lambda)
tardon2_cdf.m - compute Tardon 2 Beta Cumulative Distribution Function.
-
tardon2_cdf(x,a,b,lambda)
tardon2_cdf.m - compute Tardon 2 Beta Cumulative Distribution Function.
-
tardon2_pdf(x, a, b, lambda)
tardon2_pdf.m - evaluates a Tardon 2 Beta Probability denisity.
-
tardon2_pdf(x, a, b, lambda)
tardon2_pdf.m - evaluates a Tardon 2 Beta Probability denisity.
-
tbirnsan_cdf(x,alpha,bet,nu)
tbirnsan_cdf.m - compute t-Birnbaum Sanders Cumulative Distribution Function.
-
tbirnsan_cdf(x,alpha,bet,nu)
tbirnsan_cdf.m - compute t-Birnbaum Sanders Cumulative Distribution Function.
-
tbirnsan_pdf(x, alpha, bet, n...
tbirnsan_pdf.m - evaluates a t-Birnbaum Sanders Probability Density.
-
tbirnsan_pdf(x, alpha, bet, n...
tbirnsan_pdf.m - evaluates a t-Birnbaum Sanders Probability Density.
-
tdexp_cdf(x,lambda,a,b)
tdexp_cdf.m - compute Truncated Double Exponential Cumulative Distribution Function.
-
tdexp_cdf(x,lambda,a,b)
tdexp_cdf.m - compute Truncated Double Exponential Cumulative Distribution Function.
-
tdexp_cdf(x,mu,lambda,a,b)
tdexp_cdf.m - compute Truncated Double Exponential Cumulative Distribution Function.
-
tdexp_cdf(x,mu,lambda,a,b)
tdexp_cdf.m - compute Truncated Double Exponential Cumulative Distribution Function.
-
tdexp_pdf(x, lambda, a, b)
tdexp_pdf.m - evaluates a Truncated Double Exponential Probability denisity.
-
tdexp_pdf(x, lambda, a, b)
tdexp_pdf.m - evaluates a Truncated Double Exponential Probability denisity.
-
tdiff_cdf(x, nu)
tdiff_cdf.m - evaluates a T-Difference Cumulative Distribution.
-
tdiff_cdf(x, nu)
tdiff_cdf.m - evaluates a T-Difference Cumulative Distribution.
-
tdiff_pdf(x, nu)
tdiff_pdf.m - evaluates a T-Difference Probability Density.
-
tdiff_pdf(x, nu)
tdiff_pdf.m - evaluates a T-Difference Probability Density.
-
teja_cdf(n,p)
teja_cdf.m - compute Teja Cumulative Distribution Function.
-
teja_cdf(n,p)
teja_cdf.m - compute Teja Cumulative Distribution Function.
-
teja_pdf(n, p)
teja_pdf.m - evaluates a Logistic Exponential Probability Density.
-
teja_pdf(n, p)
teja_pdf.m - evaluates a Logistic Exponential Probability Density.
-
test_weibexp(x, lambda, c, ta...
test_tsslope.m - tests a Weibull Exponential Probability Density.
-
test_weibexp(x, lambda, c, ta...
test_tsslope.m - tests a Weibull Exponential Probability Density.
-
thomas_cdf(n, m, alpha)
thomas_cdf.m - compute Thomas Cumulative Distribution Function.
-
thomas_cdf(n, m, alpha)
thomas_cdf.m - compute Thomas Cumulative Distribution Function.
-
thomas_pdf(n, m, lambda)
thomas_pdf.m - evaluates a Thomas Probability Density.
-
thomas_pdf(n, m, lambda)
thomas_pdf.m - evaluates a Thomas Probability Density.
-
tmakeham_cdf(x, theta, Q1, P1...
tmakeham_cdf.m - evaluates a Doubly-Truncated Makeham Cumulative Distribution.
-
tmakeham_cdf(x, theta, Q1, P1...
tmakeham_cdf.m - evaluates a Doubly-Truncated Makeham Cumulative Distribution.
-
tmakeham_pdf(x, theta, Q1, P1...
tmakeham_pdf.m - evaluates a Doubly-Truncated Makeham Probability Density.
-
tmakeham_pdf(x, theta, Q1, P1...
tmakeham_pdf.m - evaluates a Doubly-Truncated Makeham Probability Density.
-
tmix_cdf(x,nn,p,nu)
tmix_cdf.m - compute binomial Mixture of T Cumulative Distribution Functions.
-
tmix_cdf(x,nn,p,nu)
tmix_cdf.m - compute binomial Mixture of T Cumulative Distribution Functions.
-
tmix_pdf(x, nn, p, a)
umix_pdf.m - evaluates a Binomial Mixture of Uniform Probability Density.
-
tmix_pdf(x, nn, p, a)
umix_pdf.m - evaluates a Binomial Mixture of Uniform Probability Density.
-
tmix_pdf(x, nn, p, nu)
tmix_pdf.m - evaluates a Binomial Mixture of T Probability Density.
-
tmix_pdf(x, nn, p, nu)
tmix_pdf.m - evaluates a Binomial Mixture of T Probability Density.
-
topleon_cdf(x, bet, a, b)
topleon_cdf.m - evaluates a Topp and Leone Cumulative Distribution.
-
topleon_cdf(x, bet, a, b)
topleon_cdf.m - evaluates a Topp and Leone Cumulative Distribution.
-
topleon_pdf(x, bet, a, b)
topleon_pdf.m - evaluates a Topp and Leone Probability Density.
-
topleon_pdf(x, bet, a, b)
topleon_pdf.m - evaluates a Topp and Leone Probability Density.
-
toranzo_cdf(x, a, b, c)
toranzo_cdf.m - compute Toranzo Cumulative Distribution Function.
-
toranzo_cdf(x, a, b, c)
toranzo_cdf.m - compute Toranzo Cumulative Distribution Function.
-
toranzo_pdf(x, a, b, c)
toranzo_pdf.m - compute Toranzo Probability Density Function.
-
toranzo_pdf(x, a, b, c)
toranzo_pdf.m - compute Toranzo Probability Density Function.
-
tpnorm_cdf(x,tsi,sigma1,sigma...
tpnorm_cdf.m - evaluates a Two-Piece normal Cumulative Distribution.
-
tpnorm_cdf(x,tsi,sigma1,sigma...
tpnorm_cdf.m - evaluates a Two-Piece normal Cumulative Distribution.
-
tpnorm_pdf(x, sigma1, sigma2,...
tpnorm_pdf.m - evaluates a Two-Piece normal Probability Density.
-
tpnorm_pdf(x, sigma1, sigma2,...
tpnorm_pdf.m - evaluates a Two-Piece normal Probability Density.
-
transbet2_cdf(x,a,p,q)
transbet2_cdf.m - compute Transformed Beta Cumulative Distribution Function.
-
transbet2_cdf(x,a,p,q)
transbet2_cdf.m - compute Transformed Beta Cumulative Distribution Function.
-
transbet2_pdf(x, a, p, q)
transbet2_pdf.m - evaluates a Transformed Beta Probability Density.
-
transbet2_pdf(x, a, p, q)
transbet2_pdf.m - evaluates a Transformed Beta Probability Density.
-
transbet_cdf(x,alpha,bet,c,mu...
transbet_cdf.m - compute Transformed Beta Cumulative Distribution Function.
-
transbet_cdf(x,alpha,bet,c,mu...
transbet_cdf.m - compute Transformed Beta Cumulative Distribution Function.
-
transbet_pdf(x, alpha, bet, c...
transbet_pdf.m - evaluates a Transformed Beta Probability Density.
-
transbet_pdf(x, alpha, bet, c...
transbet_pdf.m - evaluates a Transformed Beta Probability Density.
-
transgam_cdf(x,alpha,mu,c)
transgam_cdf.m - compute Transformed Gamma Cumulative Distribution Function.
-
transgam_cdf(x,alpha,mu,c)
transgam_cdf.m - compute Transformed Gamma Cumulative Distribution Function.
-
transgam_pdf(x, alpha, mu, c)
transgam_pdf.m - evaluates a Transformed Gamma Probability Density.
-
transgam_pdf(x, alpha, mu, c)
transgam_pdf.m - evaluates a Transformed Gamma Probability Density.
-
trap_cdf(x, a, b, c, d)
trap_cdf.m - evaluates a Cumulative Trapazoidal Distribution.
-
trap_cdf(x, a, b, c, d)
trap_cdf.m - evaluates a Cumulative Trapazoidal Distribution.
-
trap_pdf(x, a, b, c, d)
trap_pdf.m - evaluates a Trapazoidal Probability Density.
-
trap_pdf(x, a, b, c, d)
trap_pdf.m - evaluates a Trapazoidal Probability Density.
-
trgenhlog_cdf(x,k,p)
trgenhlog_cdf.m - compute Truncated Generalized Half Logistic Cumulative Distribution Function.
-
trgenhlog_cdf(x,k,p)
trgenhlog_cdf.m - compute Truncated Generalized Half Logistic Cumulative Distribution Function.
-
trgenhlog_pdf(x, k, p)
trgenhlog_pdf.m - evaluates a Truncated Generalized Half Logistic Probability Density.
-
trgenhlog_pdf(x, k, p)
trgenhlog_pdf.m - evaluates a Truncated Generalized Half Logistic Probability Density.
-
trgenpois_cdf(n, theta, lambd...
trgenpois_cdf.m - compute Truncated Generalized Poisson Cumulative Distribution Function.
-
trgenpois_cdf(n, theta, lambd...
trgenpois_cdf.m - compute Truncated Generalized Poisson Cumulative Distribution Function.
-
trgenpois_pdf(n, theta, lambd...
trgenpois_pdf.m - evaluates a Truncated Generalized Poisson Probability Density.
-
trgenpois_pdf(n, theta, lambd...
trgenpois_pdf.m - evaluates a Truncated Generalized Poisson Probability Density.
-
trggsd_cdf(n, alpha, bet)
trggsd_cdf.m - evaluates a Truncated Generalized Geometric Series Cumulative Distribution.
-
trggsd_cdf(n, alpha, bet)
trggsd_cdf.m - evaluates a Truncated Generalized Geometric Series Cumulative Distribution.
-
trggsd_pdf(n, alpha, bet)
trggsd_pdf.m - evaluates a Truncated Generalized Geometric Series Distribution Probability Density.
-
trggsd_pdf(n, alpha, bet)
trggsd_pdf.m - evaluates a Truncated Generalized Geometric Series Distribution Probability Density.
-
triang_cdf(x, a, b, c)
triang_cdf.m - evaluates a Cumulative Triangular Distribution.
-
triang_cdf(x, a, b, c)
triang_cdf.m - evaluates a Cumulative Triangular Distribution.
-
triang_pdf(x, a, b, c)
triang_pdf.m - evaluates a Triangular Probability Density.
-
triang_pdf(x, a, b, c)
triang_pdf.m - evaluates a Triangular Probability Density.
-
trigamma_cdf(n, c)
trigamma_cdf.m - compute Trigamma Cumulative Distribution Function.
-
trigamma_cdf(n, c)
trigamma_cdf.m - compute Trigamma Cumulative Distribution Function.
-
trigamma_pdf(n, c)
trigamma_pdf.m - evaluates a Trigamma Probability Density.
-
trigamma_pdf(n, c)
trigamma_pdf.m - evaluates a Trigamma Probability Density.
-
trnegbin_cdf(n,Q,k)
trnegbin_cdf.m - compute Truncated negative Binomial Cumulative Distribution Function.
-
trnegbin_cdf(n,Q,k)
trnegbin_cdf.m - compute Truncated negative Binomial Cumulative Distribution Function.
-
trnegbin_pdf(n, Q, k)
trnegbin_pdf.m - evaluates a Truncated Negative Binomial Probability Density.
-
trnegbin_pdf(n, Q, k)
trnegbin_pdf.m - evaluates a Truncated Negative Binomial Probability Density.
-
trunbur_cdf(x, alpha, lambda,...
trunbur_cdf.m - evaluates a Doubly-Truncated Burr XII Cumulative Distribution.
-
trunbur_cdf(x, alpha, lambda,...
trunbur_cdf.m - evaluates a Doubly-Truncated Burr XII Cumulative Distribution.
-
trunbur_pdf(x, alpha, lambda,...
trunbur_pdf.m - evaluates a Doubly-Truncated Burr XII Probability Density.
-
trunbur_pdf(x, alpha, lambda,...
trunbur_pdf.m - evaluates a Doubly-Truncated Burr XII Probability Density.
-
truncauchy_cdf(x, a, b, mu, s...
truncauchy_cdf.m - evaluates the Truncated Cauchy Cumulative Distribution.
-
truncauchy_cdf(x, a, b, mu, s...
truncauchy_cdf.m - evaluates the Truncated Cauchy Cumulative Distribution.
-
truncauchy_pdf(x, a, b, mu, s...
truncauchy_pdf.m - evaluates the Truncated Cauchy Probability Density.
-
truncauchy_pdf(x, a, b, mu, s...
truncauchy_pdf.m - evaluates the Truncated Cauchy Probability Density.
-
truncbeta_cdf(x, a, b, c)
truncbeta_cdf.m - evaluates a truncated beta Cumulative Distribution.
-
truncbeta_cdf(x, a, b, c)
truncbeta_cdf.m - evaluates a truncated beta Cumulative Distribution.
-
truncbeta_pdf(x, a, b, c)
truncbeta_pdf.m - evaluates a truncated beta Probability Density.
-
truncbeta_pdf(x, a, b, c)
truncbeta_pdf.m - evaluates a truncated beta Probability Density.
-
truncig_cdf(x,lambda,mu,x1,x2...
truncig_cdf.m - compute Truncated Inverse Gaussian Cumulative Distribution Function.
-
truncig_cdf(x,lambda,mu,x1,x2...
truncig_cdf.m - compute Truncated Inverse Gaussian Cumulative Distribution Function.
-
truncig_pdf(x, lambda, mu, x1...
truncig_pdf.m - evaluates a Truncated Inverse Gaussian Probability Density.
-
truncig_pdf(x, lambda, mu, x1...
truncig_pdf.m - evaluates a Truncated Inverse Gaussian Probability Density.
-
trundexp_cdf(x, mu, lambda, k...
trundexp_cdf.m - evaluates the Truncated Double Exponential Cumulative Distribution.
-
trundexp_cdf(x, mu, lambda, k...
trundexp_cdf.m - evaluates the Truncated Double Exponential Cumulative Distribution.
-
trundexp_pdf(x, mu, lambda, k...
trundexp_pdf.m - evaluates the Truncated Double Exponential Probability Density.
-
trundexp_pdf(x, mu, lambda, k...
trundexp_pdf.m - evaluates the Truncated Double Exponential Probability Density.
-
trunexp_cdf(x, b, lambda)
trunexp_cdf.m - evaluates the Truncated Exponential Cumulative Distribution.
-
trunexp_cdf(x, b, lambda)
trunexp_cdf.m - evaluates the Truncated Exponential Cumulative Distribution.
-
trunexp_pdf(x, b, lambda)
trunexp_pdf.m - evaluates the Truncated Exponential Probability Density.
-
trunexp_pdf(x, b, lambda)
trunexp_pdf.m - evaluates the Truncated Exponential Probability Density.
-
trunexval_cdf(x,a)
trunexval_cdf.m - compute Truncated Extreme Value Cumulative Distribution Function.
-
trunexval_cdf(x,a)
trunexval_cdf.m - compute Truncated Extreme Value Cumulative Distribution Function.
-
trunexval_pdf(x, a)
trunexval_pdf.m - evaluates a Truncated Extreme Value Probability Density.
-
trunexval_pdf(x, a)
trunexval_pdf.m - evaluates a Truncated Extreme Value Probability Density.
-
trungama_cdf(x,alpha,bet,m)
trungama_cdf.m - compute Truncated Gamma Cumulative Distribution Function.
-
trungama_cdf(x,alpha,bet,m)
trungama_cdf.m - compute Truncated Gamma Cumulative Distribution Function.
-
trungama_pdf(x, alpha, bet, m...
trungama_pdf.m - evaluates a Truncated Gamma Probability Density.
-
trungama_pdf(x, alpha, bet, m...
trungama_pdf.m - evaluates a Truncated Gamma Probability Density.
-
trungaus_cdf(x, a, b, mu, sig...
trungaus_cdf.m - evaluates the Truncated Gaussian Cumulative Distribution.
-
trungaus_cdf(x, a, b, mu, sig...
trungaus_cdf.m - evaluates the Truncated Gaussian Cumulative Distribution.
-
trungaus_pdf(x, a, b, mu, sig...
trungaus_pdf.m - evaluates the Truncated Gaussian Probability Density.
-
trungaus_pdf(x, a, b, mu, sig...
trungaus_pdf.m - evaluates the Truncated Gaussian Probability Density.
-
trungeom_cdf(n, alpha, K)
trungeom_cdf.m - evaluates a Truncated geometric Cumulative Distribution.
-
trungeom_cdf(n, alpha, K)
trungeom_cdf.m - evaluates a Truncated geometric Cumulative Distribution.
-
trungeom_pdf(n, alpha, K)
trungeom_pdf.m - evaluates a Truncated geometric Probability Density.
-
trungeom_pdf(n, alpha, K)
trungeom_pdf.m - evaluates a Truncated geometric Probability Density.
-
trungom_cdf(x, bet, gam, Q1, ...
trungom_cdf.m - evaluates a Truncated Gompertz Cumulative Distribution.
-
trungom_cdf(x, bet, gam, Q1, ...
trungom_cdf.m - evaluates a Truncated Gompertz Cumulative Distribution.
-
trungom_pdf(x, bet, gam, Q1, ...
trungom_pdf.m - evaluates a Truncated Gompertz Probability denisity.
-
trungom_pdf(x, bet, gam, Q1, ...
trungom_pdf.m - evaluates a Truncated Gompertz Probability denisity.
-
trunlerch_cdf(n, a, b, z, s, ...
trunlerch_cdf.m - evaluatess a Truncated Lerch Cumulative Distribution.
-
trunlerch_cdf(n, a, b, z, s, ...
trunlerch_cdf.m - evaluatess a Truncated Lerch Cumulative Distribution.
-
trunlerch_pdf(n, a, b, z, s, ...
trunlerch_pdf.m - evaluatess a Truncated Lerch Probability Density.
-
trunlerch_pdf(n, a, b, z, s, ...
trunlerch_pdf.m - evaluatess a Truncated Lerch Probability Density.
-
trunlogn_cdf(x,mu,sigma,xc,be...
trunlogn_cdf.m - compute Asymmetric Power Cumulative Distribution Function.
-
trunlogn_cdf(x,mu,sigma,xc,be...
trunlogn_cdf.m - compute Asymmetric Power Cumulative Distribution Function.
-
trunlogn_pdf(x, mu, sigma, xc...
trunlogn_pdf.m - evaluates a Truncated lognormal Probability Density.
-
trunlogn_pdf(x, mu, sigma, xc...
trunlogn_pdf.m - evaluates a Truncated lognormal Probability Density.
-
trunpar2_cdf(x, alpha, T)
trunpar2_cdf.m - evaluates a Truncated Pareto 2 Cumulative Distribution.
-
trunpar2_cdf(x, alpha, T)
trunpar2_cdf.m - evaluates a Truncated Pareto 2 Cumulative Distribution.
-
trunpar2_pdf(x, alpha, T);
trunpar2_pdf.m - evaluates a Truncated Pareto 2 Probability Density.
-
trunpar2_pdf(x, alpha, T);
trunpar2_pdf.m - evaluates a Truncated Pareto 2 Probability Density.
-
trunpar3_cdf(x, a, ups, L, U)
trunpar3_cdf.m - evaluates a doubly Truncated Pareto Cumulative Distribution.
-
trunpar3_cdf(x, a, ups, L, U)
trunpar3_cdf.m - evaluates a doubly Truncated Pareto Cumulative Distribution.
-
trunpar3_pdf(x, a, ups, L, U)
trunpar3_pdf.m - evaluates a doubly Truncated Pareto Probability Denisity.
-
trunpar3_pdf(x, a, ups, L, U)
trunpar3_pdf.m - evaluates a doubly Truncated Pareto Probability Denisity.
-
trunpar_cdf(x, alpha, gam, nu...
trunpar_cdf.m - evaluates a Truncated Pareto Cumulative Distribution.
-
trunpar_cdf(x, alpha, gam, nu...
trunpar_cdf.m - evaluates a Truncated Pareto Cumulative Distribution.
-
trunpar_pdf(x, alpha, gam, nu...
trunpar_pdf.m - evaluates a Truncated Pareto Probability Density.
-
trunpar_pdf(x, alpha, gam, nu...
trunpar_pdf.m - evaluates a Truncated Pareto Probability Density.
-
trunpear6_cdf(x, bet)
trunpear6_cdf.m - evaluates a Truncated Pearson VI Cumulative Distribution.
-
trunpear6_cdf(x, bet)
trunpear6_cdf.m - evaluates a Truncated Pearson VI Cumulative Distribution.
-
trunpear6_pdf(x, bet)
trunpear6_pdf.m - evaluates a Truncated Pearson VI Probability Density.
-
trunpear6_pdf(x, bet)
trunpear6_pdf.m - evaluates a Truncated Pearson VI Probability Density.
-
trunpois_cdf(n, m, nn, lambda...
trunpois_cdf.m - evaluates a Trucated Poisson Cumulative Distribution.
-
trunpois_cdf(n, m, nn, lambda...
trunpois_cdf.m - evaluates a Trucated Poisson Cumulative Distribution.
-
trunpois_pdf(n, m, nn, lambda...
trunpois_pdf.m - evaluates a Trucated Poisson Probability Density.
-
trunpois_pdf(n, m, nn, lambda...
trunpois_pdf.m - evaluates a Trucated Poisson Probability Density.
-
trunray_cdf(x, b, c)
trunray_cdf.m - evaluates a Truncated Rayleigh Cumulative Distribution.
-
trunray_cdf(x, b, c)
trunray_cdf.m - evaluates a Truncated Rayleigh Cumulative Distribution.
-
trunray_pdf(x, b, c)
trunray_pdf.m - evaluates a Truncated Rayleigh Probability Density.
-
trunray_pdf(x, b, c)
trunray_pdf.m - evaluates a Truncated Rayleigh Probability Density.
-
trunvoda_cdf(x,theta,k,xt)
voda_cdf.m - compute Truncated Voda Cumulative Distribution Function.
-
trunvoda_cdf(x,theta,k,xt)
voda_cdf.m - compute Truncated Voda Cumulative Distribution Function.
-
trunvoda_pdf(x, theta, k, xt)
trunvoda_pdf.m - evaluates a Truncated Voda Probability denisity.
-
trunvoda_pdf(x, theta, k, xt)
trunvoda_pdf.m - evaluates a Truncated Voda Probability denisity.
-
trunweib_cdf(x, a, b, c)
trunweib_cdf.m - evaluates a Truncated Weibull Cumulative Distribution.
-
trunweib_cdf(x, a, b, c)
trunweib_cdf.m - evaluates a Truncated Weibull Cumulative Distribution.
-
trunweib_pdf(x, a, b, c)
trunweib_pdf.m - evaluates a Truncated Weibull Probability Density.
-
trunweib_pdf(x, a, b, c)
trunweib_pdf.m - evaluates a Truncated Weibull Probability Density.
-
tsallis_cdf(x,bet,q)
tsallis_cdf.m - compute Tsallis Cumulative Distribution Function.
-
tsallis_cdf(x,bet,q)
tsallis_cdf.m - compute Tsallis Cumulative Distribution Function.
-
tsallis_pdf(x, bet, q)
tsallis_pdf.m - evaluates a Tsallis Probability Density.
-
tsallis_pdf(x, bet, q)
tsallis_pdf.m - evaluates a Tsallis Probability Density.
-
tsogive_cdf(x,nn,theta,a,b)
tsogive_cdf.m - compute Two-Sided Ogive Cumulative Distribution Function.
-
tsogive_cdf(x,nn,theta,a,b)
tsogive_cdf.m - compute Two-Sided Ogive Cumulative Distribution Function.
-
tsogive_pdf(x, nn, theta, a, ...
tsogive_pdf.m - evaluates a Two-Sided Ogive Probability Density.
-
tsogive_pdf(x, nn, theta, a, ...
tsogive_pdf.m - evaluates a Two-Sided Ogive Probability Density.
-
tspower_cdf(x, nn, theta)
tspower_cdf.m - evaluates a Two-Sided Power Cumulative Distribution.
-
tspower_cdf(x, nn, theta)
tspower_cdf.m - evaluates a Two-Sided Power Cumulative Distribution.
-
tspower_pdf(x, nn, theta)
tspower_pdf.m - evaluates a Two-Sided Power Probability Density.
-
tspower_pdf(x, nn, theta)
tspower_pdf.m - evaluates a Two-Sided Power Probability Density.
-
tsslope_cdf(x, alpha, theta, ...
tsslope_cdf.m - evaluates a Two-Sided Slope Cumulative Distribution.
-
tsslope_cdf(x, alpha, theta, ...
tsslope_cdf.m - evaluates a Two-Sided Slope Cumulative Distribution.
-
tsslope_pdf(x, alpha, theta, ...
tsslope_pdf.m - evaluates a Two-Sided Slope Probability Density.
-
tsslope_pdf(x, alpha, theta, ...
tsslope_pdf.m - evaluates a Two-Sided Slope Probability Density.
-
twdp_cdf(x,sigma,v1,v2)
twdp_cdf.m - compute Two-Wave Diffuse Power Cumulative Distribution Function.
-
twdp_cdf(x,sigma,v1,v2)
twdp_cdf.m - compute Two-Wave Diffuse Power Cumulative Distribution Function.
-
twdp_pdf(x, sigma, v1, v2)
twdp_pdf.m - evaluates a Two-Wave Diffuse Power Probability Density.
-
twdp_pdf(x, sigma, v1, v2)
twdp_pdf.m - evaluates a Two-Wave Diffuse Power Probability Density.
-
tweedie_cdf(x,lambda,alpha,ta...
tweedie_cdf.m - compute Tweedie Cumulative Distribution Function.
-
tweedie_cdf(x,lambda,alpha,ta...
tweedie_cdf.m - compute Tweedie Cumulative Distribution Function.
-
tweedie_pdf(x, lambda, alpha,...
tweedie_pdf.m - evaluates a Tweedie Probability Density.
-
tweedie_pdf(x, lambda, alpha,...
tweedie_pdf.m - evaluates a Tweedie Probability Density.
-
tweedpois_cdf(n,alpha,delta,t...
tweedpois_cdf.m - compute Tweedie Poisson Cumulative Distribution Function.
-
tweedpois_cdf(n,alpha,delta,t...
tweedpois_cdf.m - compute Tweedie Poisson Cumulative Distribution Function.
-
tweedpois_pdf(n, alpha, delta...
tweedpois_pdf.m - evaluates a Tweedie Poisson Probability Density.
-
tweedpois_pdf(n, alpha, delta...
tweedpois_pdf.m - evaluates a Tweedie Poisson Probability Density.
-
umix_cdf(x,nn,p,a)
umix_cdf.m - compute binomial Mixture of Uniform Cumulative Distribution Functions.
-
umix_cdf(x,nn,p,a)
umix_cdf.m - compute binomial Mixture of Uniform Cumulative Distribution Functions.
-
uniprod_cdf(x, n)
uniprod_cdf.m - compute Uniform Product Cumulative Distribution Function.
-
uniprod_cdf(x, n)
uniprod_cdf.m - compute Uniform Product Cumulative Distribution Function.
-
uniprod_pdf(x, n)
uniprod_pdf.m - evaluates a Uniform Product Probability Density.
-
uniprod_pdf(x, n)
uniprod_pdf.m - evaluates a Uniform Product Probability Density.
-
unisum_cdf(x, n)
unisum_cdf.m - compute Uniform Sum Cumulative Distribution Function.
-
unisum_cdf(x, n)
unisum_cdf.m - compute Uniform Sum Cumulative Distribution Function.
-
unisum_pdf(x, n)
unsum_pdf.m - evaluates a Uniform Sum Probability Density.
-
unisum_pdf(x, n)
unsum_pdf.m - evaluates a Uniform Sum Probability Density.
-
uquad_cdf(x, a, b)
uquad_cdf.m - evaluates U-Quadratic Cumulative Distribution.
-
uquad_cdf(x, a, b)
uquad_cdf.m - evaluates U-Quadratic Cumulative Distribution.
-
uquad_pdf(x, a, b)
uquad_pdf.m - evaluates U-Quadratic Probability Density.
-
uquad_pdf(x, a, b)
uquad_pdf.m - evaluates U-Quadratic Probability Density.
-
vanhout_cdf(n, a, b, pa, pb)
vanhout_cdf.m - evaluates a Van Houtum Cumulative Distribution.
-
vanhout_cdf(n, a, b, pa, pb)
vanhout_cdf.m - evaluates a Van Houtum Cumulative Distribution.
-
vanhout_pdf(n, a, b, pa, pb)
vanhout_pdf.m - evaluates a Van Houtum Probability Density.
-
vanhout_pdf(n, a, b, pa, pb)
vanhout_pdf.m - evaluates a Van Houtum Probability Density.
-
vargam_cdf(x,mu,alpha,bet,lam...
vargam_cdf.m - compute Variance Gamma Cumulative Distribution Function.
-
vargam_cdf(x,mu,alpha,bet,lam...
vargam_cdf.m - compute Variance Gamma Cumulative Distribution Function.
-
vargam_pdf(x, mu, alpha, bet,...
vargam_pdf.m - evaluates a Variance Gamma Probability Density.
-
vargam_pdf(x, mu, alpha, bet,...
vargam_pdf.m - evaluates a Variance Gamma Probability Density.
-
ved_cdf(n,p,m)
ved_cdf.m - compute Ved Cumulative Distribution Function.
-
ved_cdf(n,p,m)
ved_cdf.m - compute Ved Cumulative Distribution Function.
-
ved_pdf(n, p, m)
test_ved.m - tests a Ved Probability Density.
-
ved_pdf(n, p, m)
test_ved.m - tests a Ved Probability Density.
-
voda_cdf(x,theta,k)
voda_cdf.m - compute Voda Cumulative Distribution Function.
-
voda_cdf(x,theta,k)
voda_cdf.m - compute Voda Cumulative Distribution Function.
-
voda_pdf(x, theta, k)
voda_pdf.m - evaluates a Voda Probability denisity.
-
voda_pdf(x, theta, k)
voda_pdf.m - evaluates a Voda Probability denisity.
-
voigt_cdf(x,gama,sigma)
voigt_cdf.m - compute Voigt Cumulative Distribution Function.
-
voigt_cdf(x,gama,sigma)
voigt_cdf.m - compute Voigt Cumulative Distribution Function.
-
voigt_pdf(x, gama, sigma)
voigt_pdf.m - evaluates an Voigt Probability Density.
-
voigt_pdf(x, gama, sigma)
voigt_pdf.m - evaluates an Voigt Probability Density.
-
volodin_cdf.m
-
volodin_cdf.m
-
volodin_pdf.m
-
volodin_pdf.m
-
vonmises_cdf(x, kappa, mu)
vonmises_cdf.m - evaluates a Cumulative Von MisesDistribution.
-
vonmises_cdf(x, kappa, mu)
vonmises_cdf.m - evaluates a Cumulative Von MisesDistribution.
-
vonmises_pdf(x, kappa, mu)
vonmises_pdf.m - evaluates a Von Mises Probability Density Function.
-
vonmises_pdf(x, kappa, mu)
vonmises_pdf.m - evaluates a Von Mises Probability Density Function.
-
waittime_cdf(n, p, k, nn)
waittime_cdf.m - compute Heads-Minus-Tails Cumulative Distribution Function.
-
waittime_cdf(n, p, k, nn)
waittime_cdf.m - compute Heads-Minus-Tails Cumulative Distribution Function.
-
waittime_pdf(n, p, k, nn)
waittime_pdf.m - evaluates a Waiting Time Probability Density.
-
waittime_pdf(n, p, k, nn)
waittime_pdf.m - evaluates a Waiting Time Probability Density.
-
wak5_cdf(xv,p_value);
wak5_cdf.m - Wakeby 5-Parameter Cumulative Distribution Function.
-
wak5_cdf(xv,p_value);
wak5_cdf.m - Wakeby 5-Parameter Cumulative Distribution Function.
-
waldstat_cdf(x, r, nn, k)
waldstat_cdf.m - evaluates a Wald-Statistic Cumulative Distribution.
-
waldstat_cdf(x, r, nn, k)
waldstat_cdf.m - evaluates a Wald-Statistic Cumulative Distribution.
-
waldstat_pdf(x, r, nn, k)
waldstat_pdf.m - evaluates a Wald-Statistic Probability Density.
-
waldstat_pdf(x, r, nn, k)
waldstat_pdf.m - evaluates a Wald-Statistic Probability Density.
-
wallen_cdf(n,nn,m,N,omega)
wallen_cdf.m - compute Wallenius Cumulative Distribution Function.
-
wallen_cdf(n,nn,m,N,omega)
wallen_cdf.m - compute Wallenius Cumulative Distribution Function.
-
wallen_pdf(n,nn,m,N,omega)
wallen_pdf.m - evaluates a Wallenius Probability Density.
-
wallen_pdf(n,nn,m,N,omega)
wallen_pdf.m - evaluates a Wallenius Probability Density.
-
waring_cdf(n, c, a)
waring_cdf.m - evaluates a Cumulative Waring Distribution.
-
waring_cdf(n, c, a)
waring_cdf.m - evaluates a Cumulative Waring Distribution.
-
waring_pdf(n, c, a)
waring_pdf.m - evaluates a Waring Probability Density.
-
waring_pdf(n, c, a)
waring_pdf.m - evaluates a Waring Probability Density.
-
wcauchy_cdf(x, p, mu)
wcauchy_cdf.m - evaluates a Cumulative Wrapped-Cauchy Distribution.
-
wcauchy_cdf(x, p, mu)
wcauchy_cdf.m - evaluates a Cumulative Wrapped-Cauchy Distribution.
-
wcauchy_pdf(x, p, mu)
wcauchy_pdf.m - evaluates a Wrapped-Cauchy Probability Density.
-
wcauchy_pdf(x, p, mu)
wcauchy_pdf.m - evaluates a Wrapped-Cauchy Probability Density.
-
weib_cdf(x,a,b)
WEIB_CDF Weibull cumulative distribution function (cdf).
-
weib_cdf(x,a,b)
WEIB_CDF Weibull cumulative distribution function (cdf).
-
weib_pdf(x,a,b)
WEIB_PDF Weibull probability density function (pdf).
-
weib_pdf(x,a,b)
WEIB_PDF Weibull probability density function (pdf).
-
weibrice_cdf(x,c,A)
weibrice_cdf.m - compute Weibull Rice Cumulative Distribution Function.
-
weibrice_cdf(x,c,A)
weibrice_cdf.m - compute Weibull Rice Cumulative Distribution Function.
-
weibrice_pdf(x, c, A)
weibrice_pdf.m - evaluates a Weibull Rice Probability Density.
-
weibrice_pdf(x, c, A)
weibrice_pdf.m - evaluates a Weibull Rice Probability Density.
-
wexp_cdf(x, lambda)
wexp_cdf.m - evaluates a Cumulative Wrapped-Exponential Distribution.
-
wexp_cdf(x, lambda)
wexp_cdf.m - evaluates a Cumulative Wrapped-Exponential Distribution.
-
wexp_pdf(x, lambda)
wexp_pdf.m - evaluates a Wrapped-Exponential Probability Density Function.
-
wexp_pdf(x, lambda)
wexp_pdf.m - evaluates a Wrapped-Exponential Probability Density Function.
-
wgenpois_cdf(n,a,z)
wgenpois_cdf.m - compute Weighted Generalized Poisson Distribution Function.
-
wgenpois_cdf(n,a,z)
wgenpois_cdf.m - compute Weighted Generalized Poisson Distribution Function.
-
wgenpois_pdf(n, a, z)
wgenpois_pdf.m - evaluates a Weighted Generalized Poisson Probability Density.
-
wgenpois_pdf(n, a, z)
wgenpois_pdf.m - evaluates a Weighted Generalized Poisson Probability Density.
-
wghtpois_cdf(n,alpha,r,a)
wghtpois_cdf.m - compute Weighted Poisson Cumulative Distribution Function.
-
wghtpois_cdf(n,alpha,r,a)
wghtpois_cdf.m - compute Weighted Poisson Cumulative Distribution Function.
-
wghtstir1_cdf(n,theta,nn)
wghtstir1_cdf.m - compute Weighted Poisson Cumulative Distribution Function.
-
wghtstir1_cdf(n,theta,nn)
wghtstir1_cdf.m - compute Weighted Poisson Cumulative Distribution Function.
-
wilhil_cdf(x,alpha,theta)
wilhil_cdf.m - compute Wilson Hilferty Cumulative Distribution Function.
-
wilhil_cdf(x,alpha,theta)
wilhil_cdf.m - compute Wilson Hilferty Cumulative Distribution Function.
-
wilhil_pdf(x, alpha, theta)
wilhil_pdf.m - evaluatess a Wilson Hilferty Probability Density.
-
wilhil_pdf(x, alpha, theta)
wilhil_pdf.m - evaluatess a Wilson Hilferty Probability Density.
-
wirelength_cdf(x, a)
wirelength_cdf.m - evaluates a Wire Length cumulative distribution.
-
wirelength_cdf(x, a)
wirelength_cdf.m - evaluates a Wire Length cumulative distribution.
-
wirelength_pdf(x, a)
wirelength_pdf.m - evaluates a Wire Length probaility density.
-
wirelength_pdf(x, a)
wirelength_pdf.m - evaluates a Wire Length probaility density.
-
wlaplace_cdf(x, lambda, kappa...
wlaplace_cdf.m - evaluates a Cumulative Wrapped-Laplace Distribution.
-
wlaplace_cdf(x, lambda, kappa...
wlaplace_cdf.m - evaluates a Cumulative Wrapped-Laplace Distribution.
-
wlaplace_pdf(x, lambda, kappa...
wlaplace_pdf.m - evaluates a Wrapped-Laplace Probability Density Function.
-
wlaplace_pdf(x, lambda, kappa...
wlaplace_pdf.m - evaluates a Wrapped-Laplace Probability Density Function.
-
wrgp_cdf(n,a,s,alpha)
wrgp_cdf.m - compute q-Binomial II Cumulative Distribution Function.
-
wrgp_cdf(n,a,s,alpha)
wrgp_cdf.m - compute q-Binomial II Cumulative Distribution Function.
-
wrgp_pdf(n, a, s, alpha)
wrgp_pdf.m - evaluates a Weighted Restricted Generalized Poisson Probability Density.
-
wrgp_pdf(n, a, s, alpha)
wrgp_pdf.m - evaluates a Weighted Restricted Generalized Poisson Probability Density.
-
wtconsul_cdf(n, p, m)
wtconsul_cdf.m - compute Weighted Geometric Cumulative Distribution Function.
-
wtconsul_cdf(n, p, m)
wtconsul_cdf.m - compute Weighted Geometric Cumulative Distribution Function.
-
wtconsul_pdf(n, p, m)
wtconsul_pdf.m - evaluates a Weighted Consul Probability Density.
-
wtconsul_pdf(n, p, m)
wtconsul_pdf.m - evaluates a Weighted Consul Probability Density.
-
wtdelnegbin_cdf(n, p, m, nn)
wtdelnegbin_cdf.m - compute Weighted Delta Negative Binomial Cumulative Distribution Function.
-
wtdelnegbin_cdf(n, p, m, nn)
wtdelnegbin_cdf.m - compute Weighted Delta Negative Binomial Cumulative Distribution Function.
-
wtdelnegbin_pdf(n, p, m, nn)
wtdelnegbin_pdf.m - evaluates a Weighted Delta Negative Binomial Probability Density.
-
wtdelnegbin_pdf(n, p, m, nn)
wtdelnegbin_pdf.m - evaluates a Weighted Delta Negative Binomial Probability Density.
-
wtdeltbin_cdf(n, p, m, nn)
wtdeltbin_cdf.m - compute Weighted Delta Binomial Cumulative Distribution Function.
-
wtdeltbin_cdf(n, p, m, nn)
wtdeltbin_cdf.m - compute Weighted Delta Binomial Cumulative Distribution Function.
-
wtdeltbin_pdf(n, p, m, nn)
wtdeltbin_pdf.m - evaluates a Weighted Delta Binomial Probability Density.
-
wtdeltbin_pdf(n, p, m, nn)
wtdeltbin_pdf.m - evaluates a Weighted Delta Binomial Probability Density.
-
wtdeltpois_cdf(n, p, m, nn)
wtdeltpois_cdf.m - compute Weighted Delta Poisson Cumulative Distribution Function.
-
wtdeltpois_cdf(n, p, m, nn)
wtdeltpois_cdf.m - compute Weighted Delta Poisson Cumulative Distribution Function.
-
wtdeltpois_pdf(n, lambda, nn)
wtdeltpois_pdf.m - evaluates a Weighted Delta Poisson Probability Density.
-
wtdeltpois_pdf(n, lambda, nn)
wtdeltpois_pdf.m - evaluates a Weighted Delta Poisson Probability Density.
-
wtgeom_cdf(n, p)
wtgeom_cdf.m - compute Weighted Geometric Cumulative Distribution Function.
-
wtgeom_cdf(n, p)
wtgeom_cdf.m - compute Weighted Geometric Cumulative Distribution Function.
-
wtgeom_pdf(n, p)
wtgeom_pdf.m - evaluates a Weighted Geometric Probability Density.
-
wtgeom_pdf(n, p)
wtgeom_pdf.m - evaluates a Weighted Geometric Probability Density.
-
xie_cdf(x, alpha, bet, lambda...
xie_cdf.m - evaluates a Xie Weibull Cumulative Distribution.
-
xie_cdf(x, alpha, bet, lambda...
xie_cdf.m - evaluates a Xie Weibull Cumulative Distribution.
-
xie_pdf(x, alpha, bet, lambda...
xie_pdf.m - evaluates a Xie Weibull Probability Density.
-
xie_pdf(x, alpha, bet, lambda...
xie_pdf.m - evaluates a Xie Weibull Probability Density.
-
yule_cdf(n, p)
yule_cdf.m - evaluates a Yule Cumulative Distribution.
-
yule_cdf(n, p)
yule_cdf.m - evaluates a Yule Cumulative Distribution.
-
yule_pdf(n, p)
yule_pdf.m - evaluates a Yule Probability Density.
-
yule_pdf(n, p)
yule_pdf.m - evaluates a Yule Probability Density.
-
yulesim_cdf(n, rho, alpha)
yulesim_cdf.m - evaluates a Yule Simon Cumulative Distribution.
-
yulesim_cdf(n, rho, alpha)
yulesim_cdf.m - evaluates a Yule Simon Cumulative Distribution.
-
yulesim_pdf(n, rho, alpha)
yulesim_pdf.m - evaluates a Yule Simon Probability Density.
-
yulesim_pdf(n, rho, alpha)
yulesim_pdf.m - evaluates a Yule Simon Probability Density.
-
z=hypergeometric2f1(a,b,c,x,n...
HYPERGEOMETRIC2F1 Computes the hypergeometric function
-
z_cdf(x,alpha,bet,sigma,mu)
z_cdf.m - compute Z Cumulative Distribution Function.
-
z_cdf(x,alpha,bet,sigma,mu)
z_cdf.m - compute Z Cumulative Distribution Function.
-
z_pdf(x, alpha, bet, sigma, m...
z_pdf.m - evaluates a Z Probability Density.
-
z_pdf(x, alpha, bet, sigma, m...
z_pdf.m - evaluates a Z Probability Density.
-
zeta_cdf(n, alpha)
zeta_cdf.m - evaluates a Cumulative Zeta (Zipf) Distribution.
-
zeta_cdf(n, alpha)
zeta_cdf.m - evaluates a Cumulative Zeta (Zipf) Distribution.
-
zeta_pdf(n, alpha)
zeta_pdf.m - evaluates a Zeta (Zipf) Probability Density Function.
-
zeta_pdf(n, alpha)
zeta_pdf.m - evaluates a Zeta (Zipf) Probability Density Function.
-
zip_cdf(n, omega, lambda)
zip_cdf.m - compute Zero-Inflated Poisson Cumulative Distribution Function.
-
zip_cdf(n, omega, lambda)
zip_cdf.m - compute Zero-Inflated Poisson Cumulative Distribution Function.
-
zip_pdf(n, omega, lambda)
zip_pdf.m - evaluates a Zero-Inflated Poisson Probability Density.
-
zip_pdf(n, omega, lambda)
zip_pdf.m - evaluates a Zero-Inflated Poisson Probability Density.
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zipf4_cdf(n,sigma,gam,alpha)
zipf4_cdf.m - compute Zipf IV Cumulative Distribution Function.
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zipf4_cdf(n,sigma,gam,alpha)
zipf4_cdf.m - compute Zipf IV Cumulative Distribution Function.
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zipf4_pdf(n, sigma, gam, alph...
zipf_pdf.m - evaluates a Zipf IV Probability Density.
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zipf4_pdf(n, sigma, gam, alph...
zipf_pdf.m - evaluates a Zipf IV Probability Density.
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zipfman_cdf(n,q,nn,s)
zipfmab_cdf.m - compute Zipf Mandelbrot Cumulative Distribution Function.
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zipfman_cdf(n,q,nn,s)
zipfmab_cdf.m - compute Zipf Mandelbrot Cumulative Distribution Function.
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zipfman_pdf(n, q, nn, s)
zipfman_pdf.m - evaluates a Zipf-Mandelbrot Probability Density.
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zipfman_pdf(n, q, nn, s)
zipfman_pdf.m - evaluates a Zipf-Mandelbrot Probability Density.
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ztbin_cdf(n, nn, p)
ztbin_cdf.m - compute Zero-Truncated Binomial Cumulative Distribution Function.
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ztbin_cdf(n, nn, p)
ztbin_cdf.m - compute Zero-Truncated Binomial Cumulative Distribution Function.
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ztbin_pdf(n, nn, p)
ztbin_pdf.m - evaluates a Zero-Truncated Binomial Probability Density.
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ztbin_pdf(n, nn, p)
ztbin_pdf.m - evaluates a Zero-Truncated Binomial Probability Density.
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ztgengeg_cdf(n, alpha, bet, l...
ztgengeg_cdf.m - compute Zero-Truncated Generalized Gegenbauer Cumulative Distribution Function.
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ztgengeg_cdf(n, alpha, bet, l...
ztgengeg_cdf.m - compute Zero-Truncated Generalized Gegenbauer Cumulative Distribution Function.
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ztgengeg_pdf(n, alpha, bet, l...
ztgengeg_pdf.m - evaluates a Zero-Truncated Generalized Gegenbauer Probability Density.
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ztgengeg_pdf(n, alpha, bet, l...
ztgengeg_pdf.m - evaluates a Zero-Truncated Generalized Gegenbauer Probability Density.
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ztpois_pdf(n, theta)
ztpois_pdf.m - evaluates a Zero Truncated Poisson Probability Density.
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ztpois_pdf(n, theta)
ztpois_pdf.m - evaluates a Zero Truncated Poisson Probability Density.
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ztpoissum_cdf(n, nn, m, lambd...
ztpoissum_cdf.m - evaluates a Zero-Truncated Poisson Sum Cumulative Distribution
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ztpoissum_cdf(n, nn, m, lambd...
ztpoissum_cdf.m - evaluates a Zero-Truncated Poisson Sum Cumulative Distribution
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ztpoissum_pdf(n, nn, m, lambd...
ztpoissum_pdf.m - evaluates a Zero-Truncated Poisson Sum Probability Density.
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ztpoissum_pdf(n, nn, m, lambd...
ztpoissum_pdf.m - evaluates a Zero-Truncated Poisson Sum Probability Density.
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ccc.m
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cgamma_new.m
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create_partition2.m
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create_partition3.m
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create_partitions.m
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ncnegbin_cdf.m
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ncnegbin_pdf.m
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neg_cdf.m
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neg_pdf.m
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negbin1_cdf.m
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negbin1_pdf.m
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negbin2_cdf.m
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negbin2_pdf.m
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negbinbin_cdf.m
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negbinbin_pdf.m
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negbindel_cdf.m
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negbindel_pdf.m
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negfacmulti_cdf.m
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negfacmulti_pdf.m
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neghyper2_pdf.m
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neghyper_cdf.m
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neghyper_pdf.m
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negmulti_cdf.m
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negmulti_pdf.m
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nexceed_cdf.m
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nexceed_pdf.m
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neyman_cdf.m
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neyman_pdf.m
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neypois_cdf.m
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neypois_pdf.m
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nfctrnbin_cdf.m
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nfctrnbin_pdf.m
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nggsd_cdf.m
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nggsd_pdf.m
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nig_cdf.m
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nig_pdf.m
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norgam_cdf.m
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norgam_pdf.m
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norm_cdf.m
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normexpt_cdf.m
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normexpt_pdf.m
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normlapl_cdf.m
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normlapl_pdf.m
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normmom_cdf.m
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normmom_pdf.m
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norrecgam_cdf.m
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norrecgam_pdf.m
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nsuccess_cdf.m
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nsuccess_pdf.m
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occupy0_cdf.m
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occupy0_pdf.m
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occupy_cdf.m
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occupy_pdf.m
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ogive_cdf.m
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ogive_pdf.m
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okcorral_cdf.m
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okcorral_pdf.m
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otter_cdf.m
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otter_pdf.m
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overunder_cdf.m
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overunder_pdf.m
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p7birnsan_cdf.m
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p7birnsan_pdf.m
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parabolic_cdf.m
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parabolic_pdf.m
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pareto2_cdf.m
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pareto2_pdf.m
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pareto3_cdf.m
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pareto3_pdf.m
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pareto4_cdf.m
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pareto4_pdf.m
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pareto_cdf.m
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pareto_pdf.m
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parlogis_cdf.m
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parlogis_pdf.m
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parlognor2_cdf.m
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parlognor_cdf.m
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parlognor_pdf.m
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parnprod1_cdf.m
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parnprod1_pdf.m
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parnprod2_cdf.m
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parnprod2_pdf.m
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parratio_cdf.m
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parratio_pdf.m
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partition.m
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partitioni8.m
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paspois_cdf.m
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paspois_pdf.m
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pdf3.m
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pdf3d.m
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pdf4d.m
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pear7lapld_cdf.m
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pear7laplp_cdf.m
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pearson12_cdf.m
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pearson12_pdf.m
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pearson1_cdf.m
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pearson1_pdf.m
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pearson2_cdf.m
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pearson2_pdf.m
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pearson3_cdf.m
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pearson3_pdf.m
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pearson4_cdf.m
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pearson4_cdf_exact.m
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pearson4_pdf.m
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pearson5_cdf.m
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pearson5_pdf.m
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pearson6_cdf.m
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pearson6_pdf.m
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pearson7_cdf.m
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pearson7_pdf.m
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pearson8_cdf.m
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pearson8_pdf.m
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pearson9_cdf.m
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pearson9_pdf.m
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pebl_cdf.m
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pebl_pdf.m
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perksym_cdf.m
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perksym_pdf.m
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pert_cdf.m
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pert_pdf.m
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pfq.m
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phani_cdf.m
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phani_pdf.m
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pig_cdf.m
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pig_pdf.m
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pigam_cdf.m
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pigam_pdf.m
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planck_cdf.m
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planck_pdf.m
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poisbesl_int_cdf.m
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poisbesl_int_pdf.m
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poisbet_cdf.m
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poisbet_pdf.m
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poisbeta2_cdf.m
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poisbeta2_pdf.m
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poisbin2_cdf.m
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poisbin2_pdf.m
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poisbin_cdf.m
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poisbin_pdf.m
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poisbinmix_cdf.m
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poisbinmix_pdf.m
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poischi_int_cdf.m
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poischi_int_pdf.m
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poisdiff_cdf.m
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poisdiff_pdf.m
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poisdlog_cdf.m
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poisdlog_pdf.m
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poisf_cdf.m
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poisf_pdf.m
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poisgam_cdf.m
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poisgam_int_cdf.m
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poisgam_int_pdf.m
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poisgam_pdf.m
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poisgengam_int_cdf.m
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poisgengam_int_pdf.m
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poishyper_cdf.m
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poishyper_pdf.m
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poiskatz_cdf.m
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poiskatz_pdf.m
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poislgn_cdf.m
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poislgn_pdf.m
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poislind_cdf.m
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poislind_pdf.m
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poislog_cdf.m
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poislog_pdf.m
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poislomax_cdf.m
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poislomax_pdf.m
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poismix_cdf.m
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poismix_pdf.m
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poisnbin_cdf.m
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poisnbin_pdf.m
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poisordk_cdf.m
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poisordk_pdf.m
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poispar_cdf.m
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poispar_pdf.m
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poispas_cdf.m
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poispas_pdf.m
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poispear1_int_cdf.m
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poispear1_int_pdf.m
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poispear3_int_cdf.m
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poispear3_int_pdf.m
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poispear6_int_cdf.m
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poispear6_int_pdf.m
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poispois_cdf.m
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poispois_pdf.m
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poispoly_cdf.m
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poispoly_pdf.m
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poiss_cdf.m
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poiss_pdf.m
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poisshpar_cdf.m
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poisshpar_pdf.m
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poistgam_cdf.m
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poistgam_pdf.m
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poistnorm_cdf.m
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poistnorm_pdf.m
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polya_cdf.m
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polya_pdf.m
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polyaurn_cdf.m
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polyaurn_pdf.m
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polyfit2w.m
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polyval2d.m
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poshyper_cdf.m
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poshyper_pdf.m
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power_cdf.m
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power_pdf.m
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powertail_cdf.m
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powertail_pdf.m
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powexp_cdf.m
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powexp_pdf.m
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powlognorm_cdf.m
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powlognorm_pdf.m
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pownorm_cdf.m
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pownorm_pdf.m
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psi.m
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psin.m
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ptad_cdf.m
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ptad_pdf.m
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qb3_cdf.m
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qb3_pdf.m
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qb4_cdf.m
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qb4_pdf.m
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qb_cdf.m
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qb_pdf.m
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qbaildaum_pdf.m
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qbetageom_cdf.m
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qbetageom_pdf.m
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qbinom1_cdf.m
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qbinom1_pdf.m
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qbinom22_cdf.m
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qbinom22_pdf.m
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qbinom2_cdf.m
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qbinom2_pdf.m
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qbinomial_cdf.m
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qbinomial_coef.m
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qbinomial_pdf.m
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qccvii_cdf.m
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qccvii_pdf.m
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qccviii_cdf.m
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qccviii_pdf.m
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qchuvan_cdf.m
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qchuvan_pdf.m
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qcontag_cdf.m
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qcontag_pdf.m
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qdefbinom_cdf.m
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qdefbinom_pdf.m
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qdisunifr_cdf.m
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qdisunifr_pdf.m
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qhyper1_cdf.m
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qhyper1_pdf.m
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qhyper2_cdf.m
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qhyper2_pdf.m
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qnarayana_cdf.m
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qnarayana_pdf.m
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qnegbinom_cdf.m
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qnegbinom_pdf.m
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qnorm_pdf.m
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qpascal_cdf.m
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qpascal_pdf.m
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quasibin1_cdf.m
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quasibin1_pdf.m
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qunif_cdf.m
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qunif_pdf.m
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r_cdf.m
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r_pdf.m
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raisdcos_cdf.m
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raisdcos_pdf.m
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range_cdf.m
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range_pdf.m
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rayleigh_cdf.m
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rayleigh_pdf.m
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recip_cdf.m
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recip_pdf.m
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rectbin_cdf.m
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rectbin_pdf.m
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rectbint_cdf.m
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rectbint_pdf.m
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rectline_cdf.m
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rectline_pdf.m
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rectnegbin_cdf.m
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rectnegbin_pdf.m
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rectpois_cdf.m
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rectpois_pdf.m
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rectpoist_cdf.m
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rectpoist_pdf.m
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reflgam_cdf.m
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reflgam_pdf.m
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reflpow_cdf.m
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reflpow_pdf.m
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relbw_cdf.m
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relbw_pdf.m
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revgum_cdf.m
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revgum_pdf.m
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rgentopleon_cdf.m
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rgentopleon_pdf.m
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rgp_cdf.m
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rgp_pdf.m
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rician_cdf.m
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rician_pdf.m
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riffshuf_cdf.m
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riffshuf_pdf.m
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rig_cdf.m
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rig_pdf.m
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rinvgaus_cdf.m
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rinvgaus_pdf.m
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rosin_cdf.m
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rosin_pdf.m
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rtpois_cdf.m
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rtpois_pdf.m
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rtrunray_cdf.m
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rtrunray_pdf.m
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runs_cdf.m
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runs_pdf.m
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rutherford_cdf.m
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rutherford_pdf.m
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rwalkrng_cdf.m
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sbgsd_cdf.m
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sbgsd_pdf.m
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scalchi_cdf.m
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scalchi_pdf.m
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scalchisq_cdf.m
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scalchisq_pdf.m
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scbirnsan_cdf.m
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scbirnsan_pdf.m
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schmeis_cdf.m
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schmeis_rnd.m
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scinvchi_cdf.m
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scinvchi_pdf.m
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scinvchisq_cdf.m
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scinvchisq_pdf.m
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sech_cdf.m
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sech_pdf.m
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semicir_cdf.m
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semicir_pdf.m
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sged_cdf.m
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sged_pdf.m
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shenton_cdf.m
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shenton_pdf.m
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shftexp_cdf.m
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shftexp_pdf.m
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shftpar_cdf.m
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shftpar_pdf.m
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shiftgomp_cdf.m
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shiftgomp_pdf.m
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shlogzero_cdf.m
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shlogzero_pdf.m
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shrician_cdf.m
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shrician_pdf.m
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shsk1_cdf.m
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shsk1_pdf.m
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shsk2_cdf.m
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shsk2_pdf.m
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sibuya_cdf.m
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sibuya_pdf.m
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sichel_cdf.m
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sichel_pdf.m
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simon_cdf.m
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simon_pdf.m
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simpbin_cdf.m
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simpbin_pdf.m
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simplex_cdf.m
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simplex_pdf.m
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simps.m
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singh_cdf.m
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singh_pdf.m
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singhm_cdf.m
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singhm_pdf.m
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sinhnorm_cdf.m
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sinhnorm_pdf.m
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skellam_cdf.m
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skellam_pdf.m
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skewgent_cdf.m
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surf_plot.m
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surf_plot.m
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View all files
Generation of Random Variates
by James Huntley
09 Feb 2012
generates random variates from over 870 univariate distributions
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| File Information |
| Description |
This code package provides a framework for generating random samples of univariate distribution functions. It has an Excel database that currently lists over 870 distributions, their parameters as well as references to source material. Using a GUI, users can select from any of these discrete or continuous distributions, specify parameter values and specify the number of samples desired. The program will graph the samples, the PDF/PMF, CDF and a histogram. These samples may also be saved to a user-named local file. The Excel database is readily extensible and a User Guide is included with the package.
Given that this is the author's first submission to Matlab Central as well as first attempt at a Matlab GUI and that there are just under 2000 files in this package, there are bound to be many bugs. The author welcomes any corrections, additions, comments or suggestions.
|
| Required Products |
Statistics Toolbox
MATLAB
|
| MATLAB release |
MATLAB 7.8 (R2009a)
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