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

Inheritance: UnivariateContinuousDistribution

Méthodes publiques

Méthode	Description
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 this 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. In the Inverse Gamma CDF is computed in terms of the Upper Incomplete Regularized Gamma Function Q as CDF(x) = Q(a, b / x).
InverseGammaDistribution ( [ shape, [ scale ) : System	Creates a new Inverse Gamma Distribution.
LogProbabilityDensityFunction ( double x ) : double	Gets the log-probability density function (pdf) for this distribution evaluated at point `x`. The Probability Density Function (PDF) describes the probability that a given value `x` will occur.
ProbabilityDensityFunction ( double x ) : double	Gets the probability density function (pdf) for this distribution evaluated at point `x`. The Probability Density Function (PDF) describes the probability that a given value `x` will occur.
ToString ( string format, IFormatProvider formatProvider ) : string	Returns a System.String that represents this instance.

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

public Clone ( ) : object
Résultat	object

Gets the cumulative distribution function (cdf) for this 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.

In the Inverse Gamma CDF is computed in terms of the Upper Incomplete Regularized Gamma Function Q as CDF(x) = Q(a, b / x).

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

Creates a new Inverse Gamma Distribution.

public InverseGammaDistribution ( [ shape, [ scale ) : System
shape	[	The shape parameter α (alpha).
scale	[	The scale parameter β (beta).
Résultat	System

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

The Probability Density Function (PDF) describes the probability that a given value x will occur.

public LogProbabilityDensityFunction ( double x ) : double
x	double	A single point in the distribution range.
Résultat	double

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

The Probability Density Function (PDF) describes the probability that a given value x will occur.

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

Returns a System.String that represents this instance.

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