LogLogisticDistribution.Sample Method

public static double Sample(
	IRandomSource random,
	double scale,
	double shape
)

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

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

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

Parameters

random  IRandomSource

The random number generator used to generate the sample.

scale  Double

The scale parameter of the distribution.

shape  Double

The shape parameter of the distribution.

Return Value

scale and shape 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 scale,
	double shape
)
where TGenerator : struct, new(), IRandomGenerator

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

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

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

Parameters

random  IRandomSource<TGenerator>

The random number generator used to generate the sample.

scale  Double

The scale parameter of the distribution.

shape  Double

The shape parameter of the distribution.

Type Parameters

TGenerator

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

Return Value

scale and shape 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 scale,
	double shape
)

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

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

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

Parameters

random  Random

The random number generator used to generate the sample.

scale  Double

The scale parameter of the distribution.

shape  Double

The shape parameter of the distribution.

Return Value

scale and shape 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