BetaDistribution.Sample Method

Definition

Namespace: Extreme.Statistics.Distributions
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23

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, Double, Double) Returns a single random sample from a beta distribution with the specified parameters.

Sample(Random)

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

Parameters

random  Random
The Random derived random number generator used to generate the sample.

Return Value

Double
A double-precision floating-point number.

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 distribution represented by this distribution.

Exceptions

ArgumentNullExceptionrandom is null.

Sample(Random, Double, Double)

Returns a single random sample from a beta distribution with the specified parameters.
C#
public static double Sample(
	Random random,
	double alpha,
	double beta
)

Parameters

random  Random
The Random derived random number generator used to generate the sample.
alpha  Double
First shape parameter of the distribution.
beta  Double
Second shape parameter of the distribution.

Return Value

Double
A double-precision floating-point number that is a sample from the beta distribution with the specified parameters.

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

ArgumentNullExceptionrandom is null.

See Also