DiscreteDistributionT Class

[SerializableAttribute]
public class DiscreteDistribution<T>

<SerializableAttribute>
Public Class DiscreteDistribution(Of T)

[SerializableAttribute]
generic<typename T>
public ref class DiscreteDistribution

[<SerializableAttribute>]
type DiscreteDistribution<'T> =  class end

Type Parameters

T

The DiscreteDistributionT type exposes the following members.

	Name	Description
	DiscreteDistributionT(HistogramT)	Constructs a new DiscreteDistributionT object.
	DiscreteDistributionT(IListT, IListDouble)	Constructs a new DiscreteDistributionT object.

	Name	Description
	Items	Gets the set of items in the distribution.
	Probabilities	Gets the probabilities of the items in the distribution.

	Name	Description
	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.)
	GetExpectedHistogram	Returns a histogram whose bins contain the expected number of samples from the distribution for a given total number of samples.
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetRandomSequence	Returns a sequence of random samples from the distribution.
	GetRandomSequence(Random)	Returns a sequence of random samples from the distribution.
	GetRandomSequence(Random, Int32)	Returns a sequence of random samples of the specified length from the distribution.
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	Probability	Returns the probability of obtaining a specific item in the distribution.
	Sample	Returns a random sample from the distribution.
	Sample(Int32)	Returns a vector of random samples from the distribution.
	Sample(Random)	Returns a random sample from the distribution.
	Sample(Int32, Random)	Returns a vector of random samples from the distribution.
	Sample(Random, T)	Fills an array with random samples.
	Sample(Random, T, Int32, Int32)	Fills an array with random samples from this DiscreteDistributionT.
	SampleLevel	Returns the level index of a random sample from the distribution.
	SampleLevels	Fills an array with the level indexes of random samples from this DiscreteDistributionT.
	ToString	Returns a string that represents the current object. (Inherited from Object.)

The distribution of a variable is a description of the relative numbers of times each possible outcome will occur in a number of trials. The function describing the distribution is called the probability function.

A discrete probability distribution is a statistical distribution whose variables can take on only discrete values.

Reference