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In probability theory and statistics, the Beta distribution is a family of continuous probability distributions defined on the interval 0,1 parametrized by two non-negative shape parameters, typically denoted by A and B.
f(x,A,B) = x^(A-1)(1-x^(B-1)/beta(A,B))
where beta(z,w) = integral from 0 to 1 of t^(z-1)(1-t)^(w-1) dt.
support 0 ⇐ x ⇐ 1
Parameter | Description | Default value | Restriction |
---|---|---|---|
A | The first shape parameter | 2.0 | A>0 |
B | The second shape parameter | 2.0 | B>0 |