Overload List
| # | Signature | Description |
|---|---|---|
| 1 | procedure LogisticCDFInv(const P: TDenseMtxVec; m: Double; b: Double; const Res: TDenseMtxVec); | Logistic distribution PPF (vectorized). |
| 2 | function LogisticCDFInv(p: Double; m: Double; b: Double): Double; | Logistic distribution point percent function (PPF). |
Overload 1: procedure LogisticCDFInv(const P: TDenseMtxVec; m: Double; b: Double; const Res: TDenseMtxVec);
Logistic distribution PPF (vectorized).
| # | Name | Description |
|---|---|---|
| 1 | P | Defines distribution probabilities, real vector or matrix with values within closed interval [0,1]. |
| 2 | m | Distribution location parameter, real value. |
| 3 | b | Distribution scale parameter, real positive value. |
| 4 | Res | After calculation stores the PPF calculated from P, m and b. Length and Complex properties of Res are adjusted automatically to match Length and Complex properties of P. |
Result: stored in self (calling object)
Overload 2: function LogisticCDFInv(p: Double; m: Double; b: Double): Double;
Logistic distribution point percent function (PPF).
| # | Name | Description |
|---|---|---|
| 1 | p | Probability, real value on closed interval [0,1]. |
| 2 | m | Distribution location parameter, real value. |
| 3 | b | Distribution scale parameter, real positive value. |
Returns: Double - the Logistic distribution point percent function (PPF) for probability p using the parameters m and b. For b <= 0 the result is NAN; for p = 0 the result is -INF and for p = 1 the result is +INF.
Remarks:
The inverse logistic cumulative distribution function (quantile) is
CDF^(-1)(p| m,b)=m-b ln(1/p-1)
Domain: probability p in [0,1], m any real value, scale b > 0. The boundary cases return p = 0 -> -INF and p = 1 -> +INF. For b <= 0 the result is NAN.