Overload List
| # | Signature | Description |
|---|---|---|
| 1 | procedure MaxwellCDFInv(const P: TDenseMtxVec; a: Double; const Res: TDenseMtxVec); | Negative binomial distribution PPF (vectorized). |
| 2 | function MaxwellCDFInv(p: Double; a: Double): Double; | Maxwell distribution point percent function (PPF). |
Overload 1: procedure MaxwellCDFInv(const P: TDenseMtxVec; a: Double; const Res: TDenseMtxVec);
Negative binomial distribution PPF (vectorized).
| # | Name | Description |
|---|---|---|
| 1 | P | Defines distribution probabilities, real vector or matrix with values within closed interval [0,1]. |
| 2 | a | Distribution parameter, positive real value. |
| 3 | Res | After calculation stores the PPF calculated from P and a. 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 MaxwellCDFInv(p: Double; a: Double): Double;
Maxwell distribution point percent function (PPF).
| # | Name | Description |
|---|---|---|
| 1 | p | Probability, real value on closed interval [0,1]. |
| 2 | a | Distribution parameter, positive real value. |
Returns: Double - the Maxwell distribution point percent function (PPF) for probability p using the parameter a. a must be positive and p must lie in [0,1], otherwise the result is NAN.
Remarks:
The inverse Maxwell cumulative distribution function (quantile, standard scale a) is
CDF^(-1)(p| a)=a sqrt(2 G^(-1)(p;3/2))
where G^{-1}(p; 3/2) is the inverse of the lower regularized gamma function with shape 3/2. It is the solution x of MaxwellCDF(x | a) = p. Domain: probability p in [0,1], scale a > 0. For p < 0, p > 1, or a <= 0 the result is NAN.
See Also: Probabilities.MaxwellPDF, Probabilities.MaxwellCDF