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HypergeometricDistribution Class

Represents a hypergeometric distribution.
Inheritance Hierarchy

Namespace:  Meta.Numerics.Statistics.Distributions
Assembly:  Meta.Numerics (in Meta.Numerics.dll) Version: 4.0.5.0 (4.0.5.0)
Syntax
public sealed class HypergeometricDistribution : DiscreteDistribution

The HypergeometricDistribution type exposes the following members.

Constructors
  NameDescription
Public methodHypergeometricDistribution
Initializes a new hypergeometric distribution with the given parameters.
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Properties
  NameDescription
Public propertyDraws
Gets the number of draws parameter of the distribution.
Public propertyExcessKurtosis
Gets the excess kurtosis of the distribution.
(Inherited from UnivariateDistribution.)
Public propertyFailurePopulation
Gets the failure population parameter of the distribution.
Public propertyMean
Gets the mean of the distribution.
(Overrides DiscreteDistributionMean.)
Public propertyPopulation
Gets the total population parameter of the distribution.
Public propertySkewness
Gets the skewness of the distribution.
(Overrides UnivariateDistributionSkewness.)
Public propertyStandardDeviation
Gets the standard deviation of the distribution.
(Inherited from UnivariateDistribution.)
Public propertySuccessPopulation
Gets the success population parameter of the distribution.
Public propertySupport
Gets the interval over which the distribution is non-vanishing.
(Overrides DiscreteDistributionSupport.)
Public propertyVariance
Gets the variance of the distribution.
(Overrides UnivariateDistributionVariance.)
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Methods
  NameDescription
Public methodCentralMoment
Gets a central moment of the distribution.
(Inherited from DiscreteDistribution.)
Public methodCumulant
Computes a cumulant of the distribution.
(Inherited from UnivariateDistribution.)
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Public methodExpectationValue
Computes the expectation value of an artibrary function.
(Inherited from DiscreteDistribution.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetRandomValue
Produces a random integer drawn from the distribution.
(Inherited from DiscreteDistribution.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodInverseLeftProbability
Computes the value corresponding to the given percentile.
(Inherited from DiscreteDistribution.)
Public methodLeftExclusiveProbability
Computes the probability of obtaining a value less than the given value.
(Overrides DiscreteDistributionLeftExclusiveProbability(Int32).)
Public methodLeftInclusiveProbability
Computes the probability of obtaining a value less than or equal to the given value.
(Overrides DiscreteDistributionLeftInclusiveProbability(Int32).)
Public methodProbabilityMass
Returns the probability of the obtaining the given value.
(Overrides DiscreteDistributionProbabilityMass(Int32).)
Public methodRawMoment
Gets a raw moment of the distribution.
(Inherited from DiscreteDistribution.)
Public methodRightExclusiveProbability
Computes the probability of obtaining a value greater than the given value.
(Overrides DiscreteDistributionRightExclusiveProbability(Int32).)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
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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.

See Also