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Beta cumulative distribution function (cdf)
Syntax
Description
p = betacdf(X,A,B)
computes the beta cdf at each of the values in X using the corresponding parameters in A and B. Vector or matrix inputs for X, A, and B must all have the same size. A scalar input is expanded to a constant matrix with the same dimensions as the other inputs. The parameters in A and B must all be positive, and the values in X must lie on the interval [0,1].
The beta cdf for a given value x and given pair of parameters a and b is
where B( · ) is the Beta function. The result, p, is the probability that a single observation from a beta distribution with parameters a and b will fall in the interval [0,x].
Examples
x = 0.1:0.2:0.9; a = 2; b = 2; p = betacdf(x,a,b) p = 0.0280 0.2160 0.5000 0.7840 0.9720 a = [1 2 3]; p = betacdf(0.5,a,a) p = 0.5000 0.5000 0.5000
See Also
betafit, betainv, betalike, betapdf, betarnd, betastat, cdf
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