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

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 the Generalized Normal 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.
GeneralizedNormalDistribution ( [ location, [ scale, [ shape ) : System	Constructs a Generalized Normal distribution with the given parameters.
Laplace ( [ location, [ scale ) : GeneralizedNormalDistribution	Create an LaplaceDistribution distribution using a GeneralizedNormalDistribution specialization.
Normal ( double mean, double stdDev ) : GeneralizedNormalDistribution	Create an NormalDistribution distribution using a GeneralizedNormalDistribution specialization.
ProbabilityDensityFunction ( double x ) : double	Gets the probability density function (pdf) for the Normal distribution evaluated at point `x`.
ToString ( string format, IFormatProvider formatProvider ) : string	Returns a System.String that represents this instance.

Méthode	Description
initialize ( double mu, double alpha, double beta ) : void

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

public Clone ( ) : object
Résultat	object

Gets the cumulative distribution function (cdf) for the Generalized Normal 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 ( double x ) : double
x	double	/// A single point in the distribution range.
Résultat	double

Constructs a Generalized Normal distribution with the given parameters.

public GeneralizedNormalDistribution ( [ location, [ scale, [ shape ) : System
location	[	The location parameter μ.
scale	[	The scale parameter α.
shape	[	The shape parameter β.
Résultat	System

Create an LaplaceDistribution distribution using a GeneralizedNormalDistribution specialization.

public static Laplace ( [ location, [ scale ) : GeneralizedNormalDistribution
location	[	The Laplace's location parameter μ (mu).
scale	[	The Laplace's scale parameter b.
Résultat	GeneralizedNormalDistribution

Create an NormalDistribution distribution using a GeneralizedNormalDistribution specialization.

public static Normal ( double mean, double stdDev ) : GeneralizedNormalDistribution
mean	double	The Normal's mean parameter μ (mu).
stdDev	double	The Normal's standard deviation σ (sigma).
Résultat	GeneralizedNormalDistribution

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

public ProbabilityDensityFunction ( double x ) : double
x	double	A single point in the distribution range. For a /// univariate distribution, this should be a single double value. /// For a multivariate distribution, this should be a double array.
Résultat	double

Returns a System.String that represents this instance.

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