ChiSquareDistribution.Sample Method

public static double Sample(
	IRandomSource random,
	double degreesOfFreedom
)

Public Shared Function Sample ( 
	random As IRandomSource,
	degreesOfFreedom As Double
) As Double

public:
static double Sample(
	IRandomSource^ random, 
	double degreesOfFreedom
)

static member Sample : 
        random : IRandomSource * 
        degreesOfFreedom : float -> float 

Parameters

random  IRandomSource

The random number generator used to generate the sample.

degreesOfFreedom  Double

The degrees of freedom of the distribution.

Return Value

degreesOfFreedom 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.

public static double Sample<TGenerator>(
	IRandomSource<TGenerator> random,
	double degreesOfFreedom
)
where TGenerator : struct, new(), IRandomGenerator

Public Shared Function Sample(Of TGenerator As {Structure, New, IRandomGenerator}) ( 
	random As IRandomSource(Of TGenerator),
	degreesOfFreedom As Double
) As Double

public:
generic<typename TGenerator>
where TGenerator : value class, gcnew(), IRandomGenerator
static double Sample(
	IRandomSource<TGenerator>^ random, 
	double degreesOfFreedom
)

static member Sample : 
        random : IRandomSource<'TGenerator> * 
        degreesOfFreedom : float -> float  when 'TGenerator : struct, new() and IRandomGenerator

Parameters

random  IRandomSource<TGenerator>

The random number generator used to generate the sample.

degreesOfFreedom  Double

The degrees of freedom of the distribution.

Type Parameters

TGenerator

The underlying generator type of the random source, used to enable optimizations like inlining.

Return Value

degreesOfFreedom 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.

public static double Sample(
	Random random,
	double degreesOfFreedom
)

Public Shared Function Sample ( 
	random As Random,
	degreesOfFreedom As Double
) As Double

public:
static double Sample(
	Random^ random, 
	double degreesOfFreedom
)

static member Sample : 
        random : Random * 
        degreesOfFreedom : float -> float 

Parameters

random  Random

The random number generator used to generate the sample.

degreesOfFreedom  Double

The degrees of freedom of the distribution.

Return Value

degreesOfFreedom 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