cdfBeta#
Purpose#
Computes the incomplete Beta function (i.e., the cumulative distribution function of the Beta distribution).
Format#
- p = cdfBeta(x, a, b)#
- Parameters:
x (NxK matrix) – Values at which to evaluate the Beta cdf. \(0 \leq x \leq 1\)
a (LxM matrix) – ExE conformable with x. \(a > 0\)
b (PxQ matrix) – ExE conformable with x and a. \(b > 0\)
- Returns:
p (matrix, max(N,L,P) by max(K,M,Q)) – p is the integral from 0 to x of the beta distribution with parameters a and b. A -1 is returned for those elements with invalid inputs.
Examples#
// Values
x = { 0.0506, 0.1886, 0.3781, 0.5763 };
// Beta parameters
a = 0.5;
b = 0.3;
// Total probabilities
p = cdfBeta(x, a, b);
print "p = " p;
After running above code,
p =
0.1000
0.2000
0.3000
0.4000