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DiscreteDistribution Class

Represents all discrete, univariate probability distributions.
Inheritance Hierarchy
SystemObject
  Meta.Numerics.Statistics.DistributionsUnivariateDistribution
    Meta.Numerics.Statistics.DistributionsDiscreteDistribution
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Namespace:  Meta.Numerics.Statistics.Distributions
Assembly:  Meta.Numerics (in Meta.Numerics.dll) Version: 4.0.5.0 (4.0.5.0)
Syntax
public abstract class DiscreteDistribution : UnivariateDistribution

The DiscreteDistribution type exposes the following members.

Constructors
  NameDescription
Protected methodDiscreteDistribution
Initializes a new instance of the DiscreteDistribution class
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Properties
  NameDescription
Public propertyExcessKurtosis
Gets the excess kurtosis of the distribution.
(Inherited from UnivariateDistribution.)
Public propertyMean
Gets the mean of the distribution.
(Overrides UnivariateDistributionMean.)
Public propertySkewness
Gets the skewness of the distribution.
(Inherited from UnivariateDistribution.)
Public propertyStandardDeviation
Gets the standard deviation of the distribution.
(Inherited from UnivariateDistribution.)
Public propertySupport
Gets the interval over which the distribution is non-vanishing.
Public propertyVariance
Gets the variance of the distribution.
(Inherited from UnivariateDistribution.)
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Methods
  NameDescription
Public methodCentralMoment
Gets a central moment of the distribution.
(Overrides UnivariateDistributionCentralMoment(Int32).)
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.
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetRandomValue
Produces a random integer drawn from the distribution.
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodInverseLeftProbability
Computes the value corresponding to the given percentile.
Public methodLeftExclusiveProbability
Computes the probability of obtaining a value less than the given value.
Public methodLeftInclusiveProbability
Computes the probability of obtaining a value less than or equal to the given value.
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodProbabilityMass
Returns the probability of the obtaining the given value.
Public methodRawMoment
Gets a raw moment of the distribution.
(Overrides UnivariateDistributionRawMoment(Int32).)
Public methodRightExclusiveProbability
Computes the probability of obtaining a value greater than the given value.
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
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Remarks

A discrete distribution is a distribution over the integers.

See Also
Inheritance Hierarchy