Beta mean and variance
[M,V] = betastat(A,B)
[M,V] = betastat(A,B), with A>0 and B>0, returns the mean of and variance for the beta distribution with parameters specified by A and B. A and B can be vectors, matrices, or multidimensional arrays that have the same size, which is also the size of M and V. A scalar input for A or B is expanded to a constant array with the same dimensions as the other input.
The mean of the beta distribution with parameters a and b is and the variance is
If parameters a and b are equal, the mean is 1/2.
a = 1:6; [m,v] = betastat(a,a) m = 0.5000 0.5000 0.5000 0.5000 0.5000 0.5000 v = 0.0833 0.0500 0.0357 0.0278 0.0227 0.0192