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

Inheritance: UnivariateDiscreteDistribution

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Méthodes publiques

Méthode	Description
Clone ( ) : object	Creates a new object that is a copy of the current instance.
DegenerateDistribution ( ) : System	Initializes a new instance of the DegenerateDistribution class.
DegenerateDistribution ( [ value ) : System	Initializes a new instance of the DegenerateDistribution class.
DistributionFunction ( int k ) : double	Gets the cumulative distribution function (cdf) for this distribution evaluated at point `k`. The Cumulative Distribution Function (CDF) describes the cumulative probability that a given value or any value smaller than it will occur.
Fit ( double observations, double weights, IFittingOptions options ) : void	The DegenerateDistribution does not support fitting.
InverseDistributionFunction ( double p ) : int	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.
ProbabilityMassFunction ( int k ) : double	Gets the probability mass function (pmf) for this distribution evaluated at point `x`. The Probability Mass Function (PMF) describes the probability that a given value `x` will occur.
ToString ( string format, IFormatProvider formatProvider ) : string	Returns a System.String that represents this instance.

Method Details

Clone() public méthode

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

public Clone ( ) : object
Résultat	object

DegenerateDistribution() public méthode

Initializes a new instance of the DegenerateDistribution class.

public DegenerateDistribution ( ) : System
Résultat	System

DegenerateDistribution() public méthode

Initializes a new instance of the DegenerateDistribution class.

public DegenerateDistribution ( [ value ) : System
value	[	/// The only value whose probability is different from zero. Default is zero. ///
Résultat	System

DistributionFunction() public méthode

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

The Cumulative Distribution Function (CDF) describes the cumulative probability that a given value or any value smaller than it will occur.

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

Fit() public méthode

The DegenerateDistribution does not support fitting.

public Fit ( double observations, double weights, IFittingOptions options ) : void
observations	double
weights	double
options	IFittingOptions
Résultat	void

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 ) : int
p	double	A probability value between 0 and 1.
Résultat	int

ProbabilityMassFunction() public méthode

Gets the probability mass function (pmf) for this distribution evaluated at point x.

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

public ProbabilityMassFunction ( int k ) : double
k	int	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