GeneralizedParetoDistribution.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 shape,
	double scale
)

Public Shared Function Sample ( 
	random As Random,
	shape As Double,
	scale As Double
) As Double

public:
static double Sample(
	Random^ random, 
	double shape, 
	double scale
)

static member Sample : 
        random : Random * 
        shape : float * 
        scale : float -> float 

Parameters

random  Random

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

shape  Double

Shape parameter of the distribution.

scale  Double

Scale parameter.

Return Value

shape and scale must be strictly greater than zero. The location parameter of the distribution is set to 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.

public static double Sample(
	Random random,
	double shape,
	double scale,
	double location
)

Public Shared Function Sample ( 
	random As Random,
	shape As Double,
	scale As Double,
	location As Double
) As Double

public:
static double Sample(
	Random^ random, 
	double shape, 
	double scale, 
	double location
)

static member Sample : 
        random : Random * 
        shape : float * 
        scale : float * 
        location : float -> float 

Parameters

random  Random

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

shape  Double

Shape parameter of the distribution.

scale  Double

Scale parameter.

location  Double

Location parameter of the distribution.

Return Value

shape and 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