BinomialDistribution.Sample Method

public override int Sample(
	Random random
)

Public Overrides Function Sample ( 
	random As Random
) As Integer

public:
virtual int Sample(
	Random^ random
) override

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

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 statistical distribution represented by this distribution.

public static int Sample(
	Random random,
	int numberOfTrials
)

Public Shared Function Sample ( 
	random As Random,
	numberOfTrials As Integer
) As Integer

public:
static int Sample(
	Random^ random, 
	int numberOfTrials
)

static member Sample : 
        random : Random * 
        numberOfTrials : int -> int 

Parameters

random  Random

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

numberOfTrials  Int32

The number of trials.

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.

public static int Sample(
	Random random,
	int numberOfTrials,
	double probabilityOfSuccess
)

Public Shared Function Sample ( 
	random As Random,
	numberOfTrials As Integer,
	probabilityOfSuccess As Double
) As Integer

public:
static int Sample(
	Random^ random, 
	int numberOfTrials, 
	double probabilityOfSuccess
)

static member Sample : 
        random : Random * 
        numberOfTrials : int * 
        probabilityOfSuccess : float -> int 

Parameters

random  Random

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

numberOfTrials  Int32

The number of trials.

probabilityOfSuccess  Double

The probability of a trial resulting in success.

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