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

Inheritance: UnivariateContinuousDistribution

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Méthodes publiques

Méthode	Description
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.

Private Methods

Méthode	Description
initialize ( double scale, double shape ) : void

Method Details

Clone() public méthode

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

public Clone ( ) : object
Résultat	object

ComplementaryDistributionFunction() public méthode

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.
Résultat	double

DistributionFunction() public méthode

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.
Résultat	double

FromLocationShape() public static méthode

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].
Résultat	LogLogisticDistribution

HazardFunction() public méthode

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.
Résultat	double

InverseDistributionFunction() public méthode

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.
Résultat	double

LogLogisticDistribution() public méthode

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

public LogLogisticDistribution ( ) : System
Résultat	System

LogLogisticDistribution() public méthode

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

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

LogLogisticDistribution() public méthode

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).
Résultat	System

ProbabilityDensityFunction() public méthode

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.
Résultat	double

QuantileDensityFunction() public méthode

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.
Résultat	double

ToString() public méthode

Returns a System.String that represents this instance.

public ToString ( string format, IFormatProvider formatProvider ) : string
format	string
formatProvider	IFormatProvider
Résultat	string