Poisson |
public class PoissonDistribution : ProbabilityDistribution
The PoissonDistribution type exposes the following members.
Name | Description | |
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PoissonDistribution(Double) | Initializes a new instance of the PoissonDistribution class | |
PoissonDistribution(Double, RandomGenerator) | Initializes a new instance of the PoissonDistribution class |
Name | Description | |
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Generator | Returns the random generator used by the distribution to generate the random values. (Inherited from ProbabilityDistribution) |
Name | Description | |
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CDF(Double) | (Overrides ProbabilityDistributionCDF(Double)) | |
CDF(Double, 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) | |
PDF(Double) | (Overrides ProbabilityDistributionPDF(Double)) | |
PDF(Double, Double) | ||
Quantile | (Overrides ProbabilityDistributionQuantile(Double)) | |
ToString | Returns a string that represents the current object. (Inherited from Object) |
Name | Description | |
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alm | ||
g | ||
generator | Pointer to generator. (Inherited from ProbabilityDistribution) | |
m | ||
scale | ||
scalepi | ||
sq |
Returns a Poisson distributed deviate (integer returned in a double) from a distribution of mean m. The Poisson distribution gives the probability of a certain integer number m of unit rate Poisson random events occurring in a given interval of time x. j -x j+eps x e integral p (m) dm = ------- j-eps x j ! References: The method follows the outlines of: W. H. Press, B. P. Flannery, S. A. Teukolsky, W. T. Vetterling, Numerical Recipies in C, Cambridge Univ. Press, 1988.