TransformedBetaDistribution.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

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

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 shape1,
	double shape2,
	double shape3,
	double scale
)

Public Shared Function Sample ( 
	random As Random,
	shape1 As Double,
	shape2 As Double,
	shape3 As Double,
	scale As Double
) As Double

public:
static double Sample(
	Random^ random, 
	double shape1, 
	double shape2, 
	double shape3, 
	double scale
)

static member Sample : 
        random : Random * 
        shape1 : float * 
        shape2 : float * 
        shape3 : float * 
        scale : float -> float 

Parameters

random  Random

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

shape1  Double

The first shape parameter of the distribution. Must be strictly greater than zero.

shape2  Double

The second shape parameter of the distribution. Must be strictly greater than zero.

shape3  Double

The third shape parameter of the distribution.

scale  Double

The scale parameter. Must be strictly greater than zero.

Return Value

scale must be strictly greater than zero.

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