Summary
Beta probability density function (PDF).Unit
Probabilities
Declaration
Function BetaPDF(x, a, b: TSample): TSample;
| Parameter | Description |
|---|---|
| x | Defines distribution parameter, valid on [0,1] closed region. |
| a | Defines Beta distribution shape parameter. a must be a positive value. |
| b | Defines Beta distribution shape parameter. b must be a positive value. |
Result
beta probability density function (PDF) for given parameters a and b. The parameters a and b must both be greater than zero and x must lie on the interval (0,1) otherwise the result is NAN.Description
Calculates the beta probability density function. The beta probability density function is defined by the following equation:
where B(a,b) is beta function and it defines the interval on which the beta PDF is not zero. The beta distribution describes a family of curves that are nonzero only on the interval [0,1].
Parameters:
- a: (0,INF)
- b: (0,INF)
Categories
Continuous probabilities| See Also |
|---|
| BetaCDF |
| BetaCDFInv |
Declaration
Procedure BetaPDF(X: TDenseMtxVec; A, B: TSample; Res: TDenseMtxVec);
Description
Calculates the beta PDF 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.| Copyright 2008 Dew Research |