C# 클래스 Accord.Statistics.Distributions.Univariate.GeneralizedNormalDistribution

상속: UnivariateContinuousDistribution
파일 보기 프로젝트 열기: accord-net/framework 1 사용 예제들

공개 메소드들

메소드 설명
Clone ( ) : object

Creates a new object that is a copy of the current instance.

DistributionFunction ( double x ) : double

Gets the cumulative distribution function (cdf) for the Generalized Normal distribution evaluated at point x.

The Cumulative Distribution Function (CDF) describes the cumulative probability that a given value or any value smaller than it will occur.

GeneralizedNormalDistribution ( [ location, [ scale, [ shape ) : System

Constructs a Generalized Normal distribution with the given parameters.

Laplace ( [ location, [ scale ) : GeneralizedNormalDistribution

Create an LaplaceDistribution distribution using a GeneralizedNormalDistribution specialization.

Normal ( double mean, double stdDev ) : GeneralizedNormalDistribution

Create an NormalDistribution distribution using a GeneralizedNormalDistribution specialization.

ProbabilityDensityFunction ( double x ) : double

Gets the probability density function (pdf) for the Normal distribution evaluated at point x.

ToString ( string format, IFormatProvider formatProvider ) : string

Returns a System.String that represents this instance.

비공개 메소드들

메소드 설명
initialize ( double mu, double alpha, double beta ) : void

메소드 상세

Clone() 공개 메소드

Creates a new object that is a copy of the current instance.
public Clone ( ) : object
리턴 object

DistributionFunction() 공개 메소드

Gets the cumulative distribution function (cdf) for the Generalized Normal distribution evaluated at point x.

The Cumulative Distribution Function (CDF) describes the cumulative probability that a given value or any value smaller than it will occur.

public DistributionFunction ( double x ) : double
x double /// A single point in the distribution range.
리턴 double

GeneralizedNormalDistribution() 공개 메소드

Constructs a Generalized Normal distribution with the given parameters.
public GeneralizedNormalDistribution ( [ location, [ scale, [ shape ) : System
location [ The location parameter μ.
scale [ The scale parameter α.
shape [ The shape parameter β.
리턴 System

Laplace() 공개 정적인 메소드

Create an LaplaceDistribution distribution using a GeneralizedNormalDistribution specialization.
public static Laplace ( [ location, [ scale ) : GeneralizedNormalDistribution
location [ The Laplace's location parameter μ (mu).
scale [ The Laplace's scale parameter b.
리턴 GeneralizedNormalDistribution

Normal() 공개 정적인 메소드

Create an NormalDistribution distribution using a GeneralizedNormalDistribution specialization.
public static Normal ( double mean, double stdDev ) : GeneralizedNormalDistribution
mean double The Normal's mean parameter μ (mu).
stdDev double The Normal's standard deviation σ (sigma).
리턴 GeneralizedNormalDistribution

ProbabilityDensityFunction() 공개 메소드

Gets the probability density function (pdf) for the Normal distribution evaluated at point x.
public ProbabilityDensityFunction ( double x ) : double
x double A single point in the distribution range. For a /// univariate distribution, this should be a single double value. /// For a multivariate distribution, this should be a double array.
리턴 double

ToString() 공개 메소드

Returns a System.String that represents this instance.
public ToString ( string format, IFormatProvider formatProvider ) : string
format string
formatProvider IFormatProvider
리턴 string