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

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.
ComplementaryDistributionFunction ( double x ) : double	Gets the complementary cumulative distribution function (ccdf) for this distribution evaluated at point `x`. This function is also known as the Survival function. The Complementary Cumulative Distribution Function (CCDF) is the complement of the Cumulative Distribution Function, or 1 minus the CDF.
DistributionFunction ( double x ) : double	Gets the cumulative distribution function (cdf) for this distribution evaluated at point `x`.
FromLocationShape ( double location, double shape ) : LogLogisticDistribution	Creates a new LogLogisticDistribution using the location-shape parametrization. In this parametrization, Beta is taken as 1 / shape.
HazardFunction ( double x ) : double	Gets the hazard function, also known as the failure rate or the conditional failure density function for this distribution evaluated at point `x`. The hazard function is the ratio of the probability density function f(x) to the survival function, S(x).
InverseDistributionFunction ( double p ) : double	Gets the inverse of the cumulative distribution function (icdf) for this distribution evaluated at probability `p`. This function is also known as the Quantile function.
LogLogisticDistribution ( ) : System	Constructs a Log-Logistic distribution with unit scale and unit shape.
LogLogisticDistribution ( [ alpha ) : System	Constructs a Log-Logistic distribution with the given scale and unit shape.
LogLogisticDistribution ( [ alpha, [ beta ) : System	Constructs a Log-Logistic distribution with the given scale and shape parameters.
ProbabilityDensityFunction ( double x ) : double	Gets the probability density function (pdf) for this distribution evaluated at point `x`.
QuantileDensityFunction ( double p ) : double	Gets the first derivative of the inverse distribution function (icdf) for this distribution evaluated at probability `p`.
ToString ( string format, IFormatProvider formatProvider ) : string	Returns a System.String that represents this instance.

비공개 메소드들

메소드	설명
initialize ( double scale, double shape ) : void

메소드 상세

Clone() 공개 메소드

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

public Clone ( ) : object
리턴	object

ComplementaryDistributionFunction() 공개 메소드

Gets the complementary cumulative distribution function (ccdf) for this distribution evaluated at point x. This function is also known as the Survival function.

The Complementary Cumulative Distribution Function (CCDF) is the complement of the Cumulative Distribution Function, or 1 minus the CDF.

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

DistributionFunction() 공개 메소드

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

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

FromLocationShape() 공개 정적인 메소드

Creates a new LogLogisticDistribution using the location-shape parametrization. In this parametrization, Beta is taken as 1 / shape.

public static FromLocationShape ( double location, double shape ) : LogLogisticDistribution
location	double	The location parameter μ (mu) [taken as μ = α].
shape	double	The distribution's shape value σ (sigma) [taken as σ = β].
리턴	LogLogisticDistribution

HazardFunction() 공개 메소드

Gets the hazard function, also known as the failure rate or the conditional failure density function for this distribution evaluated at point x.

The hazard function is the ratio of the probability density function f(x) to the survival function, S(x).

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

InverseDistributionFunction() 공개 메소드

Gets the inverse of the cumulative distribution function (icdf) for this distribution evaluated at probability p. This function is also known as the Quantile function.

public InverseDistributionFunction ( double p ) : double
p	double	A probability value between 0 and 1.
리턴	double

LogLogisticDistribution() 공개 메소드

Constructs a Log-Logistic distribution with unit scale and unit shape.

public LogLogisticDistribution ( ) : System
리턴	System

LogLogisticDistribution() 공개 메소드

Constructs a Log-Logistic distribution with the given scale and unit shape.

public LogLogisticDistribution ( [ alpha ) : System
alpha	[	The distribution's scale value α (alpha).
리턴	System

LogLogisticDistribution() 공개 메소드

Constructs a Log-Logistic distribution with the given scale and shape parameters.

public LogLogisticDistribution ( [ alpha, [ beta ) : System
alpha	[	The distribution's scale value α (alpha).
beta	[	The distribution's shape value β (beta).
리턴	System

ProbabilityDensityFunction() 공개 메소드

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

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

QuantileDensityFunction() 공개 메소드

Gets the first derivative of the inverse distribution function (icdf) for this distribution evaluated at probability p.

public QuantileDensityFunction ( double p ) : double
p	double	A probability value between 0 and 1.
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