﻿ MultivariateDiscreteDistribution Methods # MultivariateDiscreteDistribution Methods

The MultivariateDiscreteDistribution type exposes the following members. Methods
NameDescription Clone
Creates a new object that is a copy of the current instance.
(Inherited from DistributionBase.) ComplementaryDistributionFunction
Gets the complementary cumulative distribution function (ccdf) for this distribution evaluated at point x. This function is also known as the Survival function. DistributionFunction
Gets the cumulative distribution function (cdf) for this distribution evaluated at point x. Equals
Determines whether the specified object is equal to the current object.
(Inherited from Object.) Finalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.) Fit(Double)
Fits the underlying distribution to a given set of observations. Fit(Double, IFittingOptions)
Fits the underlying distribution to a given set of observations. Fit(Double, Double)
Fits the underlying distribution to a given set of observations. Fit(Double, Int32)
Fits the underlying distribution to a given set of observations. Fit(Double, Double, IFittingOptions)
Fits the underlying distribution to a given set of observations. Fit(Double, Int32, IFittingOptions)
Fits the underlying distribution to a given set of observations. Generate
Generates a random observation from the current distribution. Generate(Double)
Generates a random observation from the current distribution. Generate(Int32)
Generates a random vector of observations from the current distribution. Generate(Int32)
Generates a random observation from the current distribution. Generate(Random)
Generates a random observation from the current distribution. Generate(Double, Random)
Generates a random observation from the current distribution. Generate(Int32, Double)
Generates a random vector of observations from the current distribution. Generate(Int32, Int32)
Generates a random vector of observations from the current distribution. Generate(Int32, Random)
Generates a random vector of observations from the current distribution. Generate(Int32, Random)
Generates a random observation from the current distribution. Generate(Int32, Double, Random)
Generates a random vector of observations from the current distribution. Generate(Int32, Int32, Random)
Generates a random vector of observations from the current distribution. GetHashCode
Serves as the default hash function.
(Inherited from Object.) GetType
Gets the Type of the current instance.
(Inherited from Object.) InnerComplementaryDistributionFunction
Gets the complementary cumulative distribution function (ccdf) for this distribution evaluated at point x. This function is also known as the Survival function. InnerDistributionFunction
Gets the cumulative distribution function (cdf) for this distribution evaluated at point x. InnerInverseDistributionFunction
Not supported. InnerLogProbabilityMassFunction
Gets the log-probability mass function (pmf) for this distribution evaluated at point x. InnerProbabilityMassFunction
Gets the probability mass function (pmf) for this distribution evaluated at point x. InverseDistributionFunction
Not supported. LogProbabilityMassFunction
Gets the log-probability mass function (pmf) for this distribution evaluated at point x. MarginalDistributionFunction(Int32)
Gets the marginal distribution of a given variable. MarginalDistributionFunction(Int32, Int32)
Gets the marginal distribution of a given variable evaluated at a given value. MemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.) ProbabilityMassFunction
Gets the probability mass function (pmf) for this distribution evaluated at point x. ToString
Returns a String that represents this instance.
(Inherited from DistributionBase.) ToString(IFormatProvider)
Returns a String that represents this instance.
(Inherited from DistributionBase.) ToString(String)
Returns a String that represents this instance.
(Inherited from DistributionBase.) ToString(String, IFormatProvider)
Returns a String that represents this instance.
(Inherited from DistributionBase.)
Top Extension Methods
NameDescription HasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) IsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.) To(Type)Overloaded.
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) ToTOverloaded.
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)
Top See Also