Summary
Beta cumulative distribution function (CDF).Unit
Probabilities
Declaration
Procedure BetaCDF(X: TDenseMtxVec; A, B: TSample; Res: TDenseMtxVec);
Description
Calculates the beta CDF for vector X using the parameters a and b. The results are stored in vector Res. The Res Length and Complex properties are adjusted automatically. If vector X is complex, an exception is raised.Declaration
Function BetaCDF(x, a, b: TSample): TSample;
Result
beta cumulative distribution function (CDF) for given parameters a and b. The parameters a and b must both be greater than zero, otherwise the result is NAN. The beta cumulative distribution function is defined by the following equation:
where B(a,b) is beta function.
The result of BetaCDF is the probability that a single observation from a beta distribution with parameters a and b will fall in the interval [0,x].
Categories
Continuous probabilities| See Also |
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| BetaPDF |
| BetaCDFInv |
| Copyright 2008 Dew Research |