BetaDistribution.Sample Method

public override double Sample(
	Random random
)

Public Overrides Function Sample ( 
	random As Random
) As Double

public:
virtual double Sample(
	Random^ random
) override

abstract Sample : 
        random : Random -> float 
override Sample : 
        random : Random -> float 

Parameters

random  Random

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

Return Value

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.

public static double Sample(
	Random random,
	double alpha,
	double beta
)

Public Shared Function Sample ( 
	random As Random,
	alpha As Double,
	beta As Double
) As Double

public:
static double Sample(
	Random^ random, 
	double alpha, 
	double beta
)

static member Sample : 
        random : Random * 
        alpha : float * 
        beta : float -> float 

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

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.

Reference