Summary
Exponential distribution point percent function (PPF).Unit
Probabilities
Declaration
Function ExpCDFInv(p, mu: TSample): TSample;
Result
the exponential distribution point percent function (PPF). The parameter Mu must be a positive real value and the probability y must lie on the interval [0,1], otherwise the result is NAN. The inverse exponential cumulative distribution function is defined by the following equation:
The result of ExpCDFInv is the value such that there is a probability y that an observation from an exponential distribution with parameter Mu will fall in the range [0 result].
Categories
Continuous probabilities| See Also |
|---|
| ExpCDF |
| ExpPDF |
Declaration
Procedure ExpCDFInv(P: TDenseMtxVec; Mu: TSample; Res: TDenseMtxVec);
Description
Calculates the inverse Exponential CDF for probability vector P using the parameter Mu. 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 |