Summary
Power probability distribution function (PDF).Unit
Probabilities
Declaration
Function PowerPDF(x: TSample; alpha, beta: TSample): TSample;
Result
Power distribution PDF, evaluated at x using parameters alpha and beta. Alpha, beta parameters must be positive and 0<=x<=1/beta, otherwise the result is NAN. Power probability distribution function is defined by the following equation:
where alpha, beta are both positive scalars and 0<=x<=1/beta.
| See Also |
|---|
| PowerCDF |
| PowerCDFInv |
Declaration
Procedure PowerPDF(X: TDenseMtxVec; alpha, beta: TSample; Res: TDenseMtxVec);
Description
Calculates the Power PDF for vector X using the parameters alpha and beta. The results are stored in vector Res. The Length and Complex properties are adjusted automatically. An exception is raised if X is Complex.| Copyright 2008 Dew Research |