PoissonDistribution.Sample Method

Definition

Namespace: Numerics.NET.Statistics.Distributions
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.3

Overload List

Sample() Returns a random sample from the distribution.
Sample(Int32) Returns a vector of random samples from the distribution.
Sample(Random) Returns a random sample from the distribution.
Sample(Int32, Random) Returns a vector of random samples from the distribution.
Sample(Random, Int32[]) Fills an Int32 array with random numbers.
Sample(Random, Double) Gets a single sample from the Poisson distribution with the specified mean.
Sample(Random, Int32[], Int32, Int32) Fills an Int32 array with random numbers from this DiscreteDistribution.

Sample(Random)

Returns a random sample from the distribution.
C# 
public override int Sample(
	Random random
)

Parameters

random  Random
A Random object that specifies the uniform random number generator that is to be used to generate the samples.

Return Value

Int32
A signed 32-bit integer.

Remarks

This method uses the random number generator specified by random to generate a random sample from the distribution. The return values of successive calls to this method follow the statistical distribution represented by this distribution.

Sample(Random, Double)

Gets a single sample from the Poisson distribution with the specified mean.
C# 
public static int Sample(
	Random random,
	double mean
)

Parameters

random  Random
The Random derived random number generator used to generate the sample.
mean  Double
The mean of the Poisson distribution to sample.

Return Value

Int32
A 32-bit integer sample from the Poisson distribution with the specified mean.

Remarks

This method is useful when only a single random sample is required, or if the parameters of the distribution change often. To obtain a large number of samples from a distribution with identical parameters, create an instance of the class and call the Sample() method repeatedly.

Exceptions

ArgumentNullException

random is null.

See Also