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

Inheritance: UnivariateDiscreteDistribution

Méthodes publiques

Méthode	Description
Clone ( ) : object	Creates a new object that is a copy of the current instance.
DistributionFunction ( int k ) : double	Gets P( X<= k), 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, Fitting options ) : void	Fits the underlying distribution to a given set of observations.
LogProbabilityMassFunction ( int k ) : double	Gets the log-probability mass function (pmf) for this distribution evaluated at point `x`. The Probability Mass Function (PMF) describes the probability that a given value `k` will occur.
NegativeBinomialDistribution ( [ failures, [ probability ) : System	Creates a new Negative Binomial distribution.
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.

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

public Clone ( ) : object
Résultat	object

Gets P( X<= k), 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

Fits the underlying distribution to a given set of observations.

public Fit ( double observations, double weights, Fitting options ) : void
observations	double	The array of observations to fit the model against. The array /// elements can be either of type double (for univariate data) or /// type double[] (for multivariate data).
weights	double	The weight vector containing the weight for each of the samples.
options	Fitting	Optional arguments which may be used during fitting, such /// as regularization constants and additional parameters.
Résultat	void

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

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

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

Creates a new Negative Binomial distribution.

public NegativeBinomialDistribution ( [ failures, [ probability ) : System
failures	[	Number of failures r.
probability	[	Success probability in each experiment.
Résultat	System

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

Returns a System.String that represents this instance.

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