DiscreteUniformDistribution Class

Describes a discrete uniform distribution.

Definition

Namespace: Meta.Numerics.Statistics.Distributions
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.2.0+6d77d64445f7d5d91b12e331399c4362ecb25333

C#

public sealed class DiscreteUniformDistribution : DiscreteDistribution

VB

Public NotInheritable Class DiscreteUniformDistribution
	Inherits DiscreteDistribution

C++

public ref class DiscreteUniformDistribution sealed : public DiscreteDistribution

F#

[<SealedAttribute>]
type DiscreteUniformDistribution = 
    class
        inherit DiscreteDistribution
    end

Inheritance: Object UnivariateDistribution DiscreteDistribution DiscreteUniformDistribution

Remarks

In a discrete uniform distribution, each integer in the allowed range is equally probable.

For example, the distribution of results for one roll of a fair die is DiscreteUniformDistribution(1,6).

Constructors

DiscreteUniformDistribution

Instantiates a new discrete uniform distribution with the given endpoints.

Properties

ExcessKurtosis	Gets the excess kurtosis of the distribution. (Inherited from UnivariateDistribution)
Mean	Gets the mean of the distribution. (Overrides DiscreteDistributionMean)
Skewness	Gets the skewness of the distribution. (Overrides UnivariateDistributionSkewness)
StandardDeviation	Gets the standard deviation of the distribution. (Inherited from UnivariateDistribution)
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. (Overrides DiscreteDistributionCentralMoment(Int32))
Cumulant	Computes a cumulant of the distribution. (Overrides UnivariateDistributionCumulant(Int32))
Equals	Determines whether the specified object is equal to the current object. (Inherited from Object)
ExpectationValue	Computes the expectation value of an artibrary function. (Overrides DiscreteDistributionExpectationValue(FuncInt32, Double))
GetHashCode	Serves as the default hash function. (Inherited from Object)
GetRandomValue	Produces a random integer drawn from the distribution. (Inherited from DiscreteDistribution)
GetType	Gets the Type of the current instance. (Inherited from Object)
InverseLeftProbability	Computes the value corresponding to the given percentile. (Overrides DiscreteDistributionInverseLeftProbability(Double))
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. (Inherited from DiscreteDistribution)
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))
ToString	Returns a string that represents the current object. (Inherited from Object)