Noncentral Beta Distribution
This function computes the probability density function for the
noncentral beta distribution using a transformation of variables to put
the desired density function in terms of a noncentral F, which is included
in Matlabs statsitics toolbox already.
USAGES
[ pz ] = ncbeta (x, a, b, lambda )
%To test with a histogram that gives the ratio of to IID chi-square RVs, compute:
y(1:50)=-sqrt(10);y(51:100)=+sqrt(10);
znum = ncx2rnd(ones(5e4,1), y'*y);
z = znum./(znum +
ncx2rnd(99*ones(5e4,1), 0));
[N,b] = hist(z,floor(sqrt(length(z))));
N=N./trapz(b,N);
bar(b, N,'facecolor','k')
hold on
plot(r, ncbeta (r, 1, 99, y'*y),'linewidth',4,'r');
Cite As
Joshua Carmichael (2024). Noncentral Beta Distribution (https://www.mathworks.com/matlabcentral/fileexchange/45621-noncentral-beta-distribution), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions > Multivariate Distributions > Multivariate t Distribution >
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Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 |