Summary
Inverse Gaussian probability density function (PDF).Unit
Probabilities
Declaration
Function InverseGaussianPDF(x: TSample; mu, lambda: TSample): TSample;
| Parameter | Description |
|---|---|
| x | Defines distribution parameter, valid on [0,INF) interval. |
| mu | Defines distribution mu parameter. mu must be a positive scalar. |
| lambda | Defines distribution lambda parameter. lambda must be a positive scalar. |
Result
the inverse Gaussian PDF for value x using parameters mu and lambda, where both mu and lambda are positive scalars.Description
Calculates the inverse Gaussian distribution probability density function, defined by the following equation: 
where mu>0 and lambda>0. Parameters:
- mu: mu>0
- lambda: lambda>0
Categories
Continuous probabilitiesDeclaration
Procedure InverseGaussianPDF(X: TDenseMtxVec; mu, lambda: TSample; Res: TDenseMtxVec);
Description
Calculates the Wald PDF for vector X using the parameters mu and lambda. 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 |