Poisson |
public class PoissonDistribution : DiscreteDistribution
The PoissonDistribution type exposes the following members.
Name | Description | |
---|---|---|
PoissonDistribution | Initializes a new instance of the PoissonDistribution class | |
PoissonDistribution(Double) | Initializes a new instance of the PoissonDistribution class | |
PoissonDistribution(Generator) | Initializes a new instance of the PoissonDistribution class | |
PoissonDistribution(Double, Generator) | Initializes a new instance of the PoissonDistribution class |
Name | Description | |
---|---|---|
CanReset |
Gets a value indicating whether the random number distribution can be reset, so that it produces the same
random number sequence again.
(Inherited from Distribution) | |
Generator |
Gets or sets a Generator object that can be used as underlying random number generator.
(Inherited from Distribution) | |
Maximum |
Gets the maximum possible value of poisson distributed random numbers.
(Overrides DistributionMaximum) | |
Mean |
Gets the mean value of poisson distributed random numbers.
(Overrides DistributionMean) | |
Median |
Gets the median of poisson distributed random numbers.
(Overrides DistributionMedian) | |
Minimum |
Gets the minimum possible value of poisson distributed random numbers.
(Overrides DistributionMinimum) | |
Mode |
Gets the mode of poisson distributed random numbers.
(Overrides DistributionMode) | |
Variance |
Gets the variance of poisson distributed random numbers.
(Overrides DistributionVariance) |
Name | Description | |
---|---|---|
CDF(Double) | (Overrides DiscreteDistributionCDF(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 | ||
IsValidMu | ||
MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) | |
NextDouble | (Overrides DistributionNextDouble) | |
PDF(Double) | (Overrides DiscreteDistributionPDF(Double)) | |
PDF(Double, Double) | ||
Quantile | (Overrides DiscreteDistributionQuantile(Double)) | |
Reset |
Resets the random number distribution, so that it produces the same random number sequence again.
(Inherited from Distribution) | |
ToString | Returns a string that represents the current object. (Inherited from Object) |
Name | Description | |
---|---|---|
alm | ||
g | ||
generator |
Stores a Generator object that can be used as underlying random number generator.
(Inherited from Distribution) | |
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.