Overload List
| # | Signature | Description |
|---|---|---|
| 1 | procedure NegBinomCDF(const X: TMtxVecInt; R: Double; P: Double; const Res: TDenseMtxVec); | Negative binomial distribution CDF (vectorized). |
| 2 | function NegBinomCDF(x: Integer; R: Double; p: Double): Double; | Negative binomial cumulative distribution function (CDF). |
Overload 1: procedure NegBinomCDF(const X: TMtxVecInt; R: Double; P: Double; const Res: TDenseMtxVec);
Negative binomial distribution CDF (vectorized).
| # | Name | Description |
|---|---|---|
| 1 | X | Defines distribution domain, vector or matrix with integer values. |
| 2 | R | Defines number of successes, positive integer. |
| 3 | P | Defines probability of each trial, real value on closed interval [0,1]. |
| 4 | Res | After calculation stores the CDF calculated from X, R and P 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 NegBinomCDF(x: Integer; R: Double; p: Double): Double;
Negative binomial cumulative distribution function (CDF).
| # | Name | Description |
|---|---|---|
| 1 | x | Function domain, non-negative integer. |
| 2 | R | Number of successes, real positive value (R>0). |
| 3 | p | Success probability of each trial, real value on the closed interval [0,1]. |
Returns: Double - the negative binomial cumulative distribution function (CDF) at x using parameters R and p. Returns NAN when x<0, p is outside [0,1] or R<=0.
Remarks:
Computes the negative binomial CDF P(X <= x):
CDF(x| R,p)=sum_(j=0)^x(Gamma(R+j))/(Gamma(j+1) Gamma(R)) p^R (1-p)^j
Domain: x >= 0, R>0, p in [0,1]. For x<0, R <= 0 or p not in [0,1] the result is NaN.