Gamma |
public class GammaDistribution : ProbabilityDistribution
The GammaDistribution type exposes the following members.
Name | Description | |
---|---|---|
![]() | GammaDistribution(Double, Double) | Initializes a new instance of the GammaDistribution class |
![]() | GammaDistribution(Double, Double, RandomGenerator) | Initializes a new instance of the GammaDistribution class |
Name | Description | |
---|---|---|
![]() | Generator | Returns the random generator used by the distribution to generate the random values. (Inherited from ProbabilityDistribution) |
![]() | Location | |
![]() | Order |
Name | Description | |
---|---|---|
![]() | CDF | (Overrides ProbabilityDistributionCDF(Double)) |
![]() | Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
![]() | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) |
![]() | GetHashCode | Serves as the default hash function. (Inherited from Object) |
![]() | GetType | Gets the Type of the current instance. (Inherited from Object) |
![]() | Initialize | |
![]() | MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
![]() | NextDouble | (Overrides ProbabilityDistributionNextDouble) |
![]() | (Overrides ProbabilityDistributionPDF(Double)) | |
![]() | Quantile | (Overrides ProbabilityDistributionQuantile(Double)) |
![]() | ToString | Returns a string that represents the current object. (Inherited from Object) |
Name | Description | |
---|---|---|
![]() | _invTheta | |
![]() | algorithmGD | |
![]() | alpha | |
![]() | b | |
![]() | c | |
![]() | d | |
![]() | exponentialDistribution | |
![]() | generator | Pointer to generator. (Inherited from ProbabilityDistribution) |
![]() | normalDistribution | |
![]() | q0 | |
![]() | r | |
![]() | s | |
![]() | s2 | |
![]() | scale | |
![]() | si |
Return Gamma distributed random deviates according to: a-1 -bx b (bx) e p (x) dx = ---------------- dx for x > 0 a,b Gamma(a) = 0 otherwise // The arguments must satisfy the conditions: a > 0 (positive) b != 0 (non-zero) References: For parameter a >= 1 corresponds to algorithm GD in: J. H. Ahrens and U. Dieter, Generating Gamma Variates by a Modified Rejection Technique, Comm. ACM, 25, 1, 47-54 (1982). For parameter 0 < a < 1 corresponds to algorithm GS in: J. H. Ahrens and U. Dieter, Computer Methods for Sampling from Gamma, Beta, Poisson and Binomial Distributions, Computing, 12, 223-246 (1974).