﻿ InverseWishartDistribution Methods   # InverseWishartDistribution Methods

The InverseWishartDistribution type exposes the following members. Methods
NameDescription Clone
Creates a new object that is a copy of the current instance.
(Overrides DistributionBaseClone.) ComplementaryDistributionFunction(Double)
Gets the complementary cumulative distribution function (ccdf) for this distribution evaluated at point x. This function is also known as the Survival function.
(Inherited from MatrixContinuousDistribution.) ComplementaryDistributionFunction(Double)
Gets the complementary cumulative distribution function (ccdf) for this distribution evaluated at point x. This function is also known as the Survival function.
(Inherited from MatrixContinuousDistribution.) DistributionFunction(Double)
Gets the probability density function (pdf) for this distribution evaluated at point x.
(Inherited from MatrixContinuousDistribution.) DistributionFunction(Double)
Gets the cumulative distribution function (cdf) for this distribution evaluated at point x.
(Inherited from MatrixContinuousDistribution.) 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.
(Inherited from MatrixContinuousDistribution.) Fit(Double)
Fits the underlying distribution to a given set of observations.
(Inherited from MatrixContinuousDistribution.) Fit(Double, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from MatrixContinuousDistribution.) Fit(Double, Double)
Fits the underlying distribution to a given set of observations.
(Inherited from MatrixContinuousDistribution.) Fit(Double, Int32)
Fits the underlying distribution to a given set of observations.
(Inherited from MatrixContinuousDistribution.) Fit(Double, Double)
Fits the underlying distribution to a given set of observations.
(Inherited from MatrixContinuousDistribution.) Fit(Double, Double, IFittingOptions)
Not supported.
(Overrides MatrixContinuousDistributionFit(Double, Double, IFittingOptions).) Fit(Double, Int32, IFittingOptions)
Fits the underlying distribution to a given set of observations.
(Inherited from MatrixContinuousDistribution.) Generate
Generates a random observation from the current distribution.
(Inherited from MatrixContinuousDistribution.) Generate(Double)
Generates a random observation from the current distribution.
(Inherited from MatrixContinuousDistribution.) Generate(Double)
Generates a random observation from the current distribution.
(Inherited from MatrixContinuousDistribution.) Generate(Int32)
Generates a random vector of observations from the current distribution.
(Inherited from MatrixContinuousDistribution.) Generate(Random)
Generates a random observation from the current distribution.
(Inherited from MatrixContinuousDistribution.) Generate(Double, Random)
Generates a random observation from the current distribution.
(Inherited from MatrixContinuousDistribution.) Generate(Double, Random)
Generates a random observation from the current distribution.
(Inherited from MatrixContinuousDistribution.) Generate(Int32, Double)
Generates a random vector of observations from the current distribution.
(Inherited from MatrixContinuousDistribution.) Generate(Int32, Double)
Generates a random vector of observations from the current distribution.
(Inherited from MatrixContinuousDistribution.) Generate(Int32, Random)
Generates a random vector of observations from the current distribution.
(Inherited from MatrixContinuousDistribution.) Generate(Int32, Double, Random)
Generates a random vector of observations from the current distribution.
(Inherited from MatrixContinuousDistribution.) Generate(Int32, Double, Random)
Generates a random vector of observations from the current distribution.
(Inherited from MatrixContinuousDistribution.) 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.
(Inherited from MatrixContinuousDistribution.) InnerDistributionFunction
Not supported.
(Overrides MatrixContinuousDistributionInnerDistributionFunction(Double).) InnerLogProbabilityDensityFunction
Gets the probability density function (pdf) for this distribution evaluated at point x.
(Overrides MatrixContinuousDistributionInnerLogProbabilityDensityFunction(Double).) InnerProbabilityDensityFunction
Gets the probability density function (pdf) for this distribution evaluated at point x.
(Overrides MatrixContinuousDistributionInnerProbabilityDensityFunction(Double).) LogProbabilityDensityFunction
Gets the log-probability density function (pdf) for this distribution evaluated at point x.
(Inherited from MatrixContinuousDistribution.) MemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.) ProbabilityDensityFunction
Gets the probability density function (pdf) for this distribution evaluated at point x.
(Inherited from MatrixContinuousDistribution.) 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.
(Overrides DistributionBaseToString(String, IFormatProvider).)
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