Summary
Logistic probability densify function (PDF).Unit
Probabilities
Declaration
Procedure LogisticPDF(X: TDenseMtxVec; m, b: TSample; Res: TDenseMtxVec);
Description
Calculates the Logistic PDF for all X elements using the parameters m and b. The results are stored in Res. It's size and Complex properties are adjusted automatically. If X is complex, an exception is raised.Declaration
Function LogisticPDF(x: TSample; m, b: TSample): TSample;
Result
the logistic probability density function (PDF) for value x using the parameters m and b. The logistic probability density function is defined by the following equation:
m and b must both be positive, otherwise the result is NAN.
Categories
Continuous probabilities| See Also |
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| LogisticCDF |
| LogisticCDFInv |
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