HypergeometricDistribution Class

Represents a hypergeometric distribution.

Definition

Namespace: Meta.Numerics.Statistics.Distributions
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.2.0+6d77d64445f7d5d91b12e331399c4362ecb25333
C#
public sealed class HypergeometricDistribution : DiscreteDistribution
Inheritance
Object    UnivariateDistribution    DiscreteDistribution    HypergeometricDistribution

Remarks

A BinomialDistribution gives the probability of obtaining a given number of successes in a given number of drawns from an infinite population with a given fraction of successes an failures. (Equivilently, the infinite-population property is also sometimes expressed as making the draws "with replacement".) A hypergeometric distribution, by way of contrast, gives the probability of obtaining a given number of successes in a given number of draws from a finite population containing fixed numbers of successes and failures. Each of the draws in the binomial case is identical and independent, but in the hypergeometric case the draws are without replacement, so the outcome of previous draws affect the probability of obtaining success or failure in subsequent draws.

Constructors

HypergeometricDistribution Initializes a new hypergeometric distribution with the given parameters.

Properties

Draws Gets the number of draws parameter of the distribution.
ExcessKurtosis Gets the excess kurtosis of the distribution.
(Inherited from UnivariateDistribution)
FailurePopulation Gets the failure population parameter of the distribution.
Mean Gets the mean of the distribution.
(Overrides DiscreteDistributionMean)
Population Gets the total population parameter of the distribution.
Skewness Gets the skewness of the distribution.
(Overrides UnivariateDistributionSkewness)
StandardDeviation Gets the standard deviation of the distribution.
(Inherited from UnivariateDistribution)
SuccessPopulation Gets the success population parameter of the distribution.
Support Gets the interval over which the distribution is non-vanishing.
(Overrides DiscreteDistributionSupport)
Variance Gets the variance of the distribution.
(Overrides UnivariateDistributionVariance)

Methods

CentralMoment Gets a central moment of the distribution.
(Inherited from DiscreteDistribution)
Cumulant Computes a cumulant of the distribution.
(Inherited from UnivariateDistribution)
EqualsDetermines whether the specified object is equal to the current object.
(Inherited from Object)
ExpectationValue Computes the expectation value of an artibrary function.
(Inherited from DiscreteDistribution)
GetHashCodeServes as the default hash function.
(Inherited from Object)
GetRandomValue Produces a random integer drawn from the distribution.
(Inherited from DiscreteDistribution)
GetTypeGets the Type of the current instance.
(Inherited from Object)
InverseLeftProbability Computes the value corresponding to the given percentile.
(Inherited from DiscreteDistribution)
LeftExclusiveProbability Computes the probability of obtaining a value less than the given value.
(Overrides DiscreteDistributionLeftExclusiveProbability(Int32))
LeftInclusiveProbability Computes the probability of obtaining a value less than or equal to the given value.
(Overrides DiscreteDistributionLeftInclusiveProbability(Int32))
ProbabilityMass Returns the probability of the obtaining the given value.
(Overrides DiscreteDistributionProbabilityMass(Int32))
RawMoment Gets a raw moment of the distribution.
(Inherited from DiscreteDistribution)
RightExclusiveProbability Computes the probability of obtaining a value greater than the given value.
(Overrides DiscreteDistributionRightExclusiveProbability(Int32))
ToStringReturns a string that represents the current object.
(Inherited from Object)

See Also