C# 클래스 NSoft.NFramework.Numerics.Distributions.Discrete.ConwayMaxwellPoisson

The Conway-Maxwell-Poisson distribution is a generalization of the Poisson, Geometric and Bernoulli distributions. It is parameterized by two real numbers "lambda" and "nu". For nu = 0 the distribution reverts to a Geometric distribution nu = 1 the distribution reverts to the Poisson distribution nu -> infinity the distribution converges to a Bernoulli distribution

This implementation will cache the value of the normalization constant. Wikipedia - ConwayMaxwellPoisson distribution.

The distribution will use the System.Random by default. Users can set the random number generator by using the RandomSource property.

The statistics classes will check all the incoming parameters whether they are in the allowed range. This might involve heavy computation. Optionally, by setting Control.CheckDistributionParameters to false, all parameter checks can be turned off.

상속: IDiscreteDistribution

파일 보기 프로젝트 열기: debop/NFramework

Private Properties

프로퍼티	타입	설명
AssertParameters	void
CalcMean	double
CalcVariance	double
DoSamples	IEnumerable
Normalization	double
SetParameters	void

공개 메소드들

메소드	설명
ConwayMaxwellPoisson ( double lambda, double nu, Func randomFactory = null ) : System	Initializes a new instance of the ConwayMaxwellPoisson class.
CumulativeDistribution ( double x ) : double	확률 분포 계산을 위한 누적분포함수
Probability ( int k ) : double	분포의 확률
ProbabilityLn ( int k ) : double	분포의 Log 확률
Sample ( ) : int	분포의 데이타를 반환합니다.
Samples ( ) : IEnumerable	분포의 무작위 데이타를 열거합니다.
ToString ( ) : string

비공개 메소드들

메소드	설명
AssertParameters ( double lambda, double nu ) : void
CalcMean ( double lambda, double nu ) : double
CalcVariance ( double lambda, double nu, double mean ) : double
DoSamples ( Random rnd, double lambda, double nu, double z ) : IEnumerable	Returns one trials from the distribution.
Normalization ( double lambda, double nu ) : double	Computes an approximate normalization constant for the CMP distribution.
SetParameters ( double lambda, double nu ) : void	Sets the parameters of the distribution after checking their validity.

메소드 상세

ConwayMaxwellPoisson() 공개 메소드

Initializes a new instance of the ConwayMaxwellPoisson class.

public ConwayMaxwellPoisson ( double lambda, double nu, Func randomFactory = null ) : System
lambda	double
nu	double
randomFactory	Func
리턴	System

CumulativeDistribution() 공개 메소드

확률 분포 계산을 위한 누적분포함수

public CumulativeDistribution ( double x ) : double
x	double	The location at which to compute the cumulative distribution function.
리턴	double

Probability() 공개 메소드

분포의 확률

public Probability ( int k ) : double
k	int
리턴	double

ProbabilityLn() 공개 메소드

분포의 Log 확률

public ProbabilityLn ( int k ) : double
k	int
리턴	double

Sample() 공개 메소드

분포의 데이타를 반환합니다.

public Sample ( ) : int
리턴	int

Samples() 공개 메소드

분포의 무작위 데이타를 열거합니다.

public Samples ( ) : IEnumerable
리턴	IEnumerable

ToString() 공개 메소드

public ToString ( ) : string
리턴	string