BernoulliDistribution.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

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 statistical distribution represented by this distribution.

public static int Sample(
	Random random,
	double probability
)

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

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

static member Sample : 
        random : Random * 
        probability : float -> int 

Parameters

random  Random

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

probability  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