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

Inheritance: UnivariateContinuousDistribution

Méthodes publiques

Méthode	Description
BetaPrimeDistribution ( [ alpha, [ beta ) : System	Constructs a new Beta-Prime distribution with the given two non-negative shape parameters `a` and `b`.
Clone ( ) : object	Creates a new object that is a copy of the current instance.
DistributionFunction ( [ 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.
LogProbabilityDensityFunction ( [ 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 ( [ 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.

Constructs a new Beta-Prime distribution with the given two non-negative shape parameters a and b.

public BetaPrimeDistribution ( [ alpha, [ beta ) : System
alpha	[	The distribution's non-negative shape parameter a.
beta	[	The distribution's non-negative shape parameter b.
Résultat	System

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.

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

public LogProbabilityDensityFunction ( [ x ) : double
x	[	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 ( [ x ) : double
x	[	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