Summary
Chi-squared distribution point percent function (PPF).Unit
Probabilities
Declaration
Function ChiSquareCDFInv(p: TSample; Nu: Integer): TSample;
Result
the Chi-squared distribution point percent function (PPF). The parameter Nu (degrees of freedom) must be a positive integer and the probability y must lie on the interval [0,1], otherwise the result is NAN. The chi-squared cumulative distribution function is defined by the following equation:
Categories
Continuous probabilities| See Also |
|---|
| ChiSquarePDF |
| ChiSquareCDF |
Declaration
Procedure ChiSquareCDFInv(P: TDenseMtxVec; Nu: Integer; Res: TDenseMtxVec);
Description
Calculates the inverse Chi-Squared CDF for probability vector P using the parameter Nu. 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 |