Summary
Exponential probability density function (PDF).Unit
Probabilities
Declaration
Function ExpPDF(x, mu: TSample): TSample;
| Parameter | Description |
|---|---|
| x | Defines distribution parameter, valid on [0,INF) interval. |
| mu | Defines distribution rate parameter. mu must be a positive scalar. |
Result
the exponent probability density function (PDF) for parameter Mu at the value x. Parameter Mu must be greater than zero, otherwise the result is NAN.Description
Calculates the exponential probability density function, defined by the equation:
The exponential distribution arises often in practice with conjunction with the study of Poisson processes. In a Poisson process discrete events are being observed over a continuous time interval. If we let W denote the time of the occurrence of the first event, then W has and exponential distribution.
Parameters:
- mu: (0,INF)
Categories
Continuous probabilities| See Also |
|---|
| ExpCDF |
| ExpCDFInv |
Declaration
Procedure ExpPDF(X: TDenseMtxVec; Mu: TSample; Res: TDenseMtxVec);
Description
Calculates the Exponential PDF for vector X 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 |