Overload List
| # | Signature | Description |
|---|---|---|
| 1 | procedure LogisticCDF(const X: TDenseMtxVec; m: Double; b: Double; const Res: TDenseMtxVec); | Logistic CDF (vectorized). |
| 2 | function LogisticCDF(x: Double; m: Double; b: Double): Double; | Logistic cumulative distribution function (CDF). |
Overload 1: procedure LogisticCDF(const X: TDenseMtxVec; m: Double; b: Double; const Res: TDenseMtxVec);
Logistic CDF (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 CDF 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 LogisticCDF(x: Double; m: Double; b: Double): Double;
Logistic cumulative distribution function (CDF).
| # | 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 cumulative distribution function (CDF) for value x using the parameters m and b. For b <= 0 the result is NAN.
Remarks:
The result of LogisticCDF is the probability that a single observation from a logistic distribution with parameters m and b falls in the interval (-infinity, x]:
CDF(x| m,b)=1/(1+exp(-(x-m)/b))
Domain: x any real value, m any real value, scale b > 0; the result rises monotonically from 0 to 1. For b <= 0 the result is NAN.