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

Inheritance: UnivariateContinuousDistribution

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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.
FoldedNormalDistribution ( ) : System	Creates a new FoldedNormalDistribution with zero mean and unit standard deviation.
FoldedNormalDistribution ( [ mean ) : System	Creates a new FoldedNormalDistribution with the given mean and unit standard deviation.
FoldedNormalDistribution ( [ mean, [ stdDev ) : System	Creates a new FoldedNormalDistribution with the given mean and standard deviation
HalfNormal ( double stdDev ) : FoldedNormalDistribution	Creates a new Half-normal distribution with the given standard deviation. The half-normal distribution is a special case of the FoldedNormalDistribution when location is zero.
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.

Private Methods

Méthode	Description
initialize ( double mu, double dev, double var ) : void

Method Details

Clone() public méthode

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

public Clone ( ) : object
Résultat	object

DistributionFunction() public méthode

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

FoldedNormalDistribution() public méthode

Creates a new FoldedNormalDistribution with zero mean and unit standard deviation.

public FoldedNormalDistribution ( ) : System
Résultat	System

FoldedNormalDistribution() public méthode

Creates a new FoldedNormalDistribution with the given mean and unit standard deviation.

public FoldedNormalDistribution ( [ mean ) : System
mean	[	/// The mean of the original normal distribution that should be folded.
Résultat	System

FoldedNormalDistribution() public méthode

Creates a new FoldedNormalDistribution with the given mean and standard deviation

public FoldedNormalDistribution ( [ mean, [ stdDev ) : System
mean	[	/// The mean of the original normal distribution that should be folded.
stdDev	[	/// The standard deviation of the original normal distribution that should be folded.
Résultat	System

HalfNormal() public static méthode

Creates a new Half-normal distribution with the given standard deviation. The half-normal distribution is a special case of the FoldedNormalDistribution when location is zero.

public static HalfNormal ( double stdDev ) : FoldedNormalDistribution
stdDev	double	/// The standard deviation of the original normal distribution that should be folded.
Résultat	FoldedNormalDistribution

ProbabilityDensityFunction() public méthode

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

ToString() public méthode

Returns a System.String that represents this instance.

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