Overload List
| # | Signature | Description |
|---|---|---|
| 1 | void ExpCDF(TDenseMtxVec X, Double Mu, TDenseMtxVec Res) | Exponential CDF (vectorized). |
| 2 | Double ExpCDF(Double x, Double Mu) | Exponential cumulative distribution function (CDF). |
Overload 1: void ExpCDF(TDenseMtxVec X, Double Mu, TDenseMtxVec Res)
Exponential CDF (vectorized).
| # | Name | Description |
|---|---|---|
| 1 | X | Defines distribution domain, real vector or matrix with positive values or zero. |
| 2 | Mu | Defines distribution rate parameter. Mu must be a positive scalar. |
| 3 | Res | After calculation stores the CDF calculated from X and Mu. 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: Double ExpCDF(Double x, Double Mu)
Exponential cumulative distribution function (CDF).
| # | Name | Description |
|---|---|---|
| 1 | x | Function domain, real value >= 0. |
| 2 | Mu | Scale parameter (= the distribution mean), real value > 0. |
Returns: Double - the exponential cumulative distribution function (CDF) at x for scale (mean) Mu. Returns 0 when Mu <= 0 (NOT NAN).
Remarks:
Computes the exponential CDF
CDF(x|mu)=1/mu integral _0 ^x exp (-t/mu) dt = 1-exp (-x/mu)
The result is the probability that an observation falls in , lies in and is monotone non-decreasing. Domain: x >= 0, mu > 0. For mu <= 0 the result is 0 (not NAN).
See Also: Probabilities.ExpPDF, Probabilities.ExpCDFInv