Code covered by the BSD License
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linnik_rnd.m - generates 'nsamples' of a Linnik random variable.
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jtb_rnd.m - generates 'nsamples' of a Johnson Teitjen beckman 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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genormlap_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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ades_rnd.m - generates 'nsamples' of an Ades 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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stable_rnd.m - generates 'nsamples' of a Stable 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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[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.
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britfrac_pdf(x, alpha, bet, r...
britfrac_pdf.m - evaluates a Brittle Fracture Probability Density.
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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)
-
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
-
distributions31(varargin)
distributions31 M-file for distributions31.fig
-
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.
-
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.
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genk_cdf(x,alpha,eta,nu)
genk_cdf.m - compute Generalized K Cumulative Distribution Function.
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genk_pdf(x, alpha, eta, nu)
genk_pdf.m - evaluates a Generalized K Probability Density.
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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.
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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.
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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.
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genlog5_pdf(x, alpha)
genlog5_pdf.m - evaluates a Generalized Logistic Type-II Probability Density.
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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.
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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.
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genmarpol_cdf(n,rho,r,s,N)
genmarpol_cdf.m - compute Generalized Markov-Polya Cumulative Distribution Function.
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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.
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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.
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genmuth_pdf(x, bet, loc, scal...
genmuth_pdf.m - evaluates a Generalized Muth Probability Density.
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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.
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gennegbin_cdf(n, alphat, bet,...
gennegbin_cdf.m - compute a Generalized Negative Binomial Cumulative Distribution Function.
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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.
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genpar_pdf(x, gam, bet)
genpar_pdf.m - evaluates a Generalized Pareto Probability Density.
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genpears7_cdf(x,m,c,xi)
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genpears7_pdf(x, m, c, xi)
genpears7_pdf.m - evaluates the Generalized Pearson 7 Probability Density.
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genpoisdif_cdf(n,theta1,theta...
genpoisdif_cdf.m - compute Generalized Poisson Difference Cumulative Distribution Function.
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genpoisdif_pdf(n, theta1, the...
genpoisdif_pdf.m - evaluates a Generalized Poisson Difference Probability Density.
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genpoiss_cdf(n, theta, lambda...
genpoiss_cdf.m - compute Generaized Poisson Cumulative Distribution Function.
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genpoiss_pdf(n, theta, lambda...
genpoiss_pdf.m - evaluates a Generalized Poisson Probability Density.
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genray_cdf(x, k, theta)
genray_cdf.m - evaluates a Generalized Rayleigh Cumulative Distribution.
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genray_pdf(x, k, theta)
genray_pdf.m - evaluates a generalize Rayleigh Probability Density.
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gensech_cdf(x,rho,theta)
gensech_cdf.m - compute Generalized Hyperbolic Secant Cumulative Distribution Function.
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gensech_pdf(x, rho, theta)
gensech_pdf.m - evaluates a Generalized Hyperbolic Secant Probability Density.
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genstud_cdf(x,sigma,k,p,theta...
genstud_cdf.m - evaluates a Generalized Student Cumulative Distribution.
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genstud_pdf(x, sigma, k, p, t...
genstud_pdf.m - evaluates a Generalized Student Probability Density.
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gent2_cdf(x,p,q)
-
gent2_pdf(x, p, q)
gent2_pdf.m - evaluates the Generalized T Probability Density.
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gent_cdf(x,sigma,p,q)
gent_cdf.m - compute Generalized T Cumulative Distribution Function.
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gent_pdf(x, sigma, p, q)
gent_pdf.m - evaluates a Generalized T Probability Density.
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gentopleo_cdf(x, alpha, bet, ...
gentopleo_cdf.m - tests a Generalized Topp & Leone Cumulative Distribution.
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gentopleo_pdf(x, alpha, bet, ...
gentopleo.m - tests a Generalized Topp & Leone Probability Density.
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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.
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genurn_pdf(n, nn, w, b, c)
genurn_pdf.m - evaluates a General URN Probability Density.
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genwar_cdf(n,a,b,alpha)
genwar_cdf.m - compute a Generalized Waring Cumulative Distribution Function.
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genwar_pdf(n, a, b, alpha)
genwar_pdf.m - evaluates a Generalized Waring Probability Density.
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genweib_cdf(x, a, omega, nn, ...
genweib_cdf.m - evaluates a Generalized Weibull Cumulative Distribution.
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genweib_pdf(x, a, omega, nn, ...
genweib_pdf.m - evaluates a Generalized Weibull Probability Density.
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genxval_cdf(x, gam, mu, sigma...
genxval_cdf.m - evaluates a Cumulative Generalized Extreme Value Distribution.
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genxval_pdf(x, gam, mu, sigma...
genxval_pdf.m - evaluates a Generalized Extreme Value Probability Density.
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genyule2_cdf(n, alpha, bet, g...
genyule2_cdf.m - compute a Generalized Yule Cumulative Distribution Function.
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genyule2_pdf(n, alpha, bet, g...
genyule2_pdf.m - evaluates a Generalized Yule Probability Density.
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genyule_cdf(n, lambda)
genyule_cdf.m - evaluates a Generalized Yule Cumulative Distribution.
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genyule_pdf(n, lambda)
genyule_pdf.m - evaluates a Generalized Yule Probability Density.
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geometric_cdf(x,p)
GEOMETRIC_CDF Geometric cumulative distribution function.
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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.
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geomordk_pdf(n, k, p)
geomordk_pdf.m - evaluates a Geometric Order K Probability denisity.
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geompois_cdf(n, lambda, theta...
geompois_cdf.m - compute Geometric Poisson Cumulative Distribution Function.
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geompois_pdf(n, lambda, theta...
geompois_pdf.m - evaluates a Geometric Poisson Probability Density.
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geoxexp_cdf(x, gam)
geoxexp_cdf.m - evaluates a Cumulative Geometric Extreme Exponential Distribution.
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geoxexp_pdf(x, gam)
geoxexp_pdf.m - evaluates a Geometric Extreme Exponential Probability Density.
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ggsd_cdf(n, alpha, bet)
ggsd_cdf.m - evaluates a Generalized Geometric Series Distribution Cumulative Distribution.
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ggsd_pdf(n, alpha, bet)
ggsd_pdf.m - evaluates a Generalized Geometric Series Distribution Probability Density.
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ghfd_cdf(n, theta, alpha, bet...
ghfd_cdf.m - compute a Generalized Hypergeometric Factorial Moment Cumulative Distribution Function.
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ghfd_pdf(n, theta, alpha, bet...
ghfd_pdf.m - evaluates a Generalized Hypergeometric Factorial Moment Probability Density.
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ghgb3_cdf(n, a, b, c)
ghgb3_cdf.m - compute Generalized Hypergeometric GHgB3 Cumulative Distribution Function.
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ghgb3_pdf(n, a, b, c)
ghgb3_pdf.m - evaluates a Generalized Hypergeometric GHgB3 Probability Density.
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gig_cdf(x,a,b,p)
gig_cdf.m - compute Generalized Inverse Gaussian Cumulative Distribution Function.
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gig_pdf(x, a, b, p)
gig_pdf.m - evaluates a Generalized Inverse Gaussian Probability Density.
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git8_cdf(n, nn, p, q)
git8_cdf.m - compute Generalized Inverse Trinomial 8 Cumulative Distribution Function.
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git8_pdf(n, nn, p, q)
git8_pdf.m - evaluates an Generalized Inverse Trinomial 8 Probability Density.
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glostgame_cdf(n, p, j, a)
glostgame_cdf.m - compute Generalized Lost Games Cumulative Distribution Function.
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glostgame_pdf(n, p, j, a)
glostgame_pdf.m - evaluates a Lost Game Probability Density.
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gmllim(p,b)
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gomper_cdf(x, c, b)
gomper_cdf.m - evaluates a Cumulative Gompertz Distribution.
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gomper_pdf(x, c, b)
gomper_pdf.m - evaluates a Gompertz Probability Density.
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good2_cdf(n,q,ups)
good_cdf.m - compute Good 2 Cumulative Distribution Function.
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good2_pdf(n, q, ups)
good2_pdf.m - evaluates a Good 2 Probability denisity.
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good_cdf(n,q,eta)
good_cdf.m - compute Good Cumulative Distribution Function.
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good_pdf(n, q, eta)
good_pdf.m - evaluates a Good Probability denisity.
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greenwich_cdf(x, a, b)
greenwich_cdf.m - evaluates a Greenwich Cumulative Distribuiton.
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greenwich_pdf(x, a, b)
greenwich_pdf.m - evaluates a Greenwich Probability Density.
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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.
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gummax_cdf(x, bet, mu)
gummax_cdf.m - evaluates a Cumulative of the (Gumbel) Maximum Order Extreme Value I distribution Distribution.
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gummax_pdf(x, bet, mu)
gummax_pdf.m - evaluates a (Gumbel) Maximum Order Extreme Value I distribution Probability Density.
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gummin_cdf(x, bet, mu)
gummin_cdf.m - evaluates a Cumulative of the (Gumbel) Minimum Order Extreme Value I distribution Distribution.
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gummin_pdf(x, bet, mu)
gummin_pdf.m - evaluates a (Gumbel) Minimum Order Extreme Value I distribution Probability Density.
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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.
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gurwich_pdf(x, alpha, bet)
gurwich_pdf.m - evaluates a Gurwich Weibull Probability Density.
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h=smooth_diff(n)
A smoothed differentiation filter (digital differentiator).
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haight_pdf(n, nn, alpha)
haigh_pdft.m - evaluates a Haight Probability Density.
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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.
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hall_pdf(x, theta, gama)
hall_pdf.m - evaluates a Hall Probability Density.
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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.
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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.
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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.
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hermite_pdf(n, alpha, bet)
hermite_pdf.m - evaluates a Hermite Probability Density.
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hist(y,x)
HIST Histogram.
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hjorth_cdf(x,m,s,f)
hjorth_cdf.m - compute Hojorth Cumulative Distribution Function.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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i_partition_next ( n, ...
I_PARTITION_NEXT generates the partitions of an integer, one at a time.
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i_partition_next2 ( n, npart,...
I_PARTITION_NEXT2 computes the partitions of the integer N one at a time.
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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.
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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.
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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.
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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.
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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 Neyman A Poisson Cumulative Distribution Function.
-
nfctrnbin_cdf(n, k, theta, nn...
nfctrnbin_cdf.m - compute n-fold Convolution of Truncated Negative Binomial
-
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.
-
occupy0_pdf(n, c, b)
occupy0_pdf.m - evaluates an Occupancy 0 (at least) Probability Density.
-
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.
-
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.
-
pareto2_cdf(x, gamma, k)
pareto2_cdf.m - evaluates a Cumulative Pareto 2nd-Distribution.
-
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.
-
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.
-
range_cdf(x)
range_cdf.m - evaluates a Range Cumulative Distribution.
-
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.
-
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_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_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_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_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_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_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_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_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_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.
-
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.
-
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.
-
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.
-
stirling1 ( n, m )
STIRLING1 computes the Stirling numbers of the first kind.
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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.
-
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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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,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.
-
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.
-
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.
-
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_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.
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tmakeham_pdf(x, theta, Q1, P1...
tmakeham_pdf.m - evaluates a Doubly-Truncated Makeham Probability Density.
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tmix_cdf(x,nn,p,nu)
tmix_cdf.m - compute binomial Mixture of T Cumulative Distribution Functions.
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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.
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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.
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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.
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tpnorm_cdf(x,tsi,sigma1,sigma...
tpnorm_cdf.m - evaluates a Two-Piece normal Cumulative Distribution.
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tpnorm_pdf(x, sigma1, sigma2,...
tpnorm_pdf.m - evaluates a Two-Piece normal Probability Density.
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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.
-
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.
-
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.
-
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.
-
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.
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trgenpois_cdf(n, theta, lambd...
trgenpois_cdf.m - compute Truncated Generalized Poisson Cumulative Distribution Function.
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trgenpois_pdf(n, theta, lambd...
trgenpois_pdf.m - evaluates a Truncated Generalized Poisson Probability Density.
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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.
-
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.
-
trigamma_cdf(n, c)
trigamma_cdf.m - compute Trigamma Cumulative Distribution Function.
-
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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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_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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
volodin_cdf.m
-
volodin_pdf.m
-
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.
-
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.
-
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_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_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_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_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).
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weib_pdf(x,a,b)
WEIB_PDF Weibull probability density function (pdf).
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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.
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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.
-
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.
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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.
-
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.
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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.
-
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.
-
wrgp_cdf(n,a,s,alpha)
wrgp_cdf.m - compute q-Binomial II Cumulative Distribution Function.
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wrgp_pdf(n, a, s, alpha)
wrgp_pdf.m - evaluates a Weighted Restricted Generalized Poisson Probability Density.
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wtconsul_cdf(n, p, m)
wtconsul_cdf.m - compute Weighted Geometric Cumulative Distribution Function.
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wtconsul_pdf(n, p, m)
wtconsul_pdf.m - evaluates a Weighted Consul Probability Density.
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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.
-
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.
-
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.
-
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.
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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.
-
yule_cdf(n, p)
yule_cdf.m - evaluates a Yule Cumulative Distribution.
-
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_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_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_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_pdf(n, omega, lambda)
zip_pdf.m - evaluates a Zero-Inflated Poisson Probability Density.
-
zipf4_cdf(n,sigma,gam,alpha)
zipf4_cdf.m - compute Zipf IV Cumulative Distribution Function.
-
zipf4_pdf(n, sigma, gam, alph...
zipf_pdf.m - evaluates a Zipf IV Probability Density.
-
zipfman_cdf(n,q,nn,s)
zipfmab_cdf.m - compute Zipf Mandelbrot Cumulative Distribution Function.
-
zipfman_pdf(n, q, nn, s)
zipfman_pdf.m - evaluates a Zipf-Mandelbrot Probability Density.
-
ztbin_cdf(n, nn, p)
ztbin_cdf.m - compute Zero-Truncated Binomial Cumulative Distribution Function.
-
ztbin_pdf(n, nn, p)
ztbin_pdf.m - evaluates a Zero-Truncated Binomial Probability Density.
-
ztgengeg_cdf(n, alpha, bet, l...
ztgengeg_cdf.m - compute Zero-Truncated Generalized Gegenbauer Cumulative Distribution Function.
-
ztgengeg_pdf(n, alpha, bet, l...
ztgengeg_pdf.m - evaluates a Zero-Truncated Generalized Gegenbauer Probability Density.
-
ztpois_pdf(n, theta)
ztpois_pdf.m - evaluates a Zero Truncated Poisson Probability Density.
-
ztpoissum_cdf(n, nn, m, lambd...
ztpoissum_cdf.m - evaluates a Zero-Truncated Poisson Sum Cumulative Distribution
-
ztpoissum_pdf(n, nn, m, lambd...
ztpoissum_pdf.m - evaluates a Zero-Truncated Poisson Sum Probability Density.
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ccc.m
-
cgamma_new.m
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create_partition2.m
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create_partition3.m
-
create_partitions.m
-
surf_plot.m
-
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.
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| Acknowledgements |
Special Functions Math Library, Gaussian Hypergeometric Function, Erfz, Special Functions.Zip, Generalized Hypergeometric Function, Smooth Differentiation, Computation Of Special Functions, Complex Scaled Complementary Error Function, Confluent Hypergeometric Function (Kummer Function), Gauss Hypergeometric Function, and Simpson's Rule For Numerical Integration
inspired this file.
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| Required Products |
Statistics Toolbox
MATLAB
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| MATLAB release |
MATLAB 7.8 (R2009a)
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