Overload List
| # | Signature | Description |
|---|---|---|
| 1 | procedure LogisticPDF(const X: TDenseMtxVec; m: Double; b: Double; const Res: TDenseMtxVec); | Logistic PDF (vectorized). |
| 2 | function LogisticPDF(x: Double; m: Double; b: Double): Double; | Logistic probability density function (PDF). |
Overload 1: procedure LogisticPDF(const X: TDenseMtxVec; m: Double; b: Double; const Res: TDenseMtxVec);
Logistic PDF (vectorized).
| # | Name | Description |
|---|---|---|
| 1 | X | Defines distribution domain, real vector or matrix. |
| 2 | m | Distribution location parameter, real value. |
| 3 | b | Distribution scale parameter, real positive value. |
| 4 | Res | After calculation stores the PDF calculated from X, m and b. Length and Complex properties of Res are adjusted automatically to match Length and Complex properties of X. |
Result: stored in self (calling object)
Overload 2: function LogisticPDF(x: Double; m: Double; b: Double): Double;
Logistic probability density function (PDF).
| # | Name | Description |
|---|---|---|
| 1 | x | Function domain, real value. |
| 2 | m | Distribution location parameter, real value. |
| 3 | b | Distribution scale parameter, real positive value. |
Returns: Double - the logistic probability density function (PDF) for value x using the parameters m and b. For b <= 0 the result is NAN.
Remarks:
The logistic probability density function is
PDF(x| m,b)=(exp(-(x-m)/b))/(b(1+exp(-(x-m)/b))^2)
Domain: x any real value, location m any real value, scale b > 0. For b <= 0 the result is NAN.