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

Наследование: UnivariateContinuousDistribution

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Открытые методы

Метод	Описание
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.

Приватные методы

Метод	Описание
initialize ( double scale, double shape ) : void

Описание методов

Clone() публичный Метод

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

public Clone ( ) : object
Результат	object

ComplementaryDistributionFunction() публичный Метод

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.
Результат	double

DistributionFunction() публичный Метод

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.
Результат	double

FromLocationShape() публичный статический Метод

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].
Результат	LogLogisticDistribution

HazardFunction() публичный Метод

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.
Результат	double

InverseDistributionFunction() публичный Метод

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.
Результат	double

LogLogisticDistribution() публичный Метод

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

public LogLogisticDistribution ( ) : System
Результат	System

LogLogisticDistribution() публичный Метод

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

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

LogLogisticDistribution() публичный Метод

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).
Результат	System

ProbabilityDensityFunction() публичный Метод

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.
Результат	double

QuantileDensityFunction() публичный Метод

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.
Результат	double

ToString() публичный Метод

Returns a System.String that represents this instance.

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