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

Inheritance: UnivariateContinuousDistribution
Afficher le fichier Open project: accord-net/framework Class Usage Examples

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.

CumulativeHazardFunction ( double x ) : double

Gets the cumulative hazard function for this distribution evaluated at point x.

DistributionFunction ( double x ) : double

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

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.

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.

PowerLognormalDistribution ( [ power, [ shape ) : System

Constructs a Power Lognormal distribution with the given power and shape parameters.

ProbabilityDensityFunction ( double x ) : double

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

ToString ( string format, IFormatProvider formatProvider ) : string

Returns a System.String that represents this instance.

Private Methods

Méthode Description
initialize ( double power, double sigma ) : 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.
public ComplementaryDistributionFunction ( double x ) : double
x double A single point in the distribution range.
Résultat double

CumulativeHazardFunction() public méthode

Gets the cumulative hazard function for this distribution evaluated at point x.
public CumulativeHazardFunction ( 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

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.
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

PowerLognormalDistribution() public méthode

Constructs a Power Lognormal distribution with the given power and shape parameters.
public PowerLognormalDistribution ( [ power, [ shape ) : System
power [ The distribution's power p.
shape [ The distribution's shape σ.
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

ToString() public méthode

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