WishartDistribution Class

[SerializableAttribute]
public class WishartDistribution

<SerializableAttribute>
Public Class WishartDistribution

[SerializableAttribute]
public ref class WishartDistribution

[<SerializableAttribute>]
type WishartDistribution =  class end

The WishartDistribution type exposes the following members.

	Name	Description
	WishartDistribution	Constructs a new WishartDistribution object.

	Name	Description
	DegreesOfFreedom	Gets the degrees of freedom of the distribution.
	Order	Gets the number of dimensions of the distribution.
	ScaleMatrix	Gets the scale matrix for the distribution.

	Name	Description
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	FillRandomVariate	Obsolete. Fills a symmetric matrix with a random sample from the distribution.
	FillSample	Fills a symmetric matrix with a random sample from the distribution.
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetMeans	Returns the mean or expectation value of the distribution.
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	GetVariances	Returns a matrix that contains the variance of individual components of the distribution.
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	Sample	Returns a random sample from the distribution.
	ToString	Returns a string that represents the current object. (Inherited from Object.)

The Wishart distribution is a generalization of the Chi square distribution to multiple dimensions. The Wishart distribution is the distribution of the sample covariance matrix for a sample from the MultivariateNormalDistribution.

The Wishart distribution has two parameters: a scalar that represents the degrees of freedom of the distribution, and a positive definite scale matrix.

Reference