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====== Beta Distribution ====== | ====== Beta Distribution ====== | ||
- | 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. | + | In probability theory and statistics, the Beta distribution is a family of continuous probability distributions defined on the interval |
- | f(x,A,B) = x^(A-1)//(1-x^(B-1)/beta(A,B))// | + | f(x,alpha,beta) = // (x^(alpha-1)*(1-x)^(beta-1))/Beta(alpha,beta)// |
+ | |||
+ | where | ||
+ | //Beta// (the beta function) | ||
- | where beta(z,w) = integral from 0 to 1 of t^(z-1)//(1-t)^(w-1) dt.// | + | Beta(alpha,beta) = //integral from 0 to 1 of t^(alpha-1)*(1-t)^(beta-1) dt.// |
- | support 0 <= x <= 1 | ||
^Parameter^Description | ^Parameter^Description | ||
- | |A |The first shape parameter |2.0 |A>0 | | + | |alpha |The first shape parameter |2.0 |alpha>0 | |
- | |B | + | |beta |The second shape parameter|2.0 |