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

Inheritance: UnivariateContinuousDistribution
Afficher le fichier Open project: accord-net/framework Class Usage Examples

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 k.

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

LogProbabilityDensityFunction ( double 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 u will occur.

MannWhitneyDistribution ( double ranks, [ n1, [ n2 ) : System

Constructs a Mann-Whitney's U-statistic distribution.

ProbabilityDensityFunction ( double x ) : double

Gets the probability density function (pdf) for this distribution evaluated at point u.

The Probability Density Function (PDF) describes the probability that a given value u will occur.

ToString ( string format, IFormatProvider formatProvider ) : string

Returns a System.String that represents this instance.

UMinimum ( double ranks, int n1, int n2 ) : double

Gets the Mann-Whitney's U statistic for the smaller sample.

USample1 ( double rank1, int n2 ) : double

Gets the Mann-Whitney's U statistic for the first sample.

USample2 ( double rank2, int n1 ) : double

Gets the Mann-Whitney's U statistic for the second sample.

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 k.
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

LogProbabilityDensityFunction() public méthode

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 u will occur.
public LogProbabilityDensityFunction ( double x ) : double
x double A single point in the distribution range.
Résultat double

MannWhitneyDistribution() public méthode

Constructs a Mann-Whitney's U-statistic distribution.
public MannWhitneyDistribution ( double ranks, [ n1, [ n2 ) : System
ranks double The rank statistics.
n1 [ The number of observations in the first sample.
n2 [ The number of observations in the second sample.
Résultat System

ProbabilityDensityFunction() public méthode

Gets the probability density function (pdf) for this distribution evaluated at point u.
The Probability Density Function (PDF) describes the probability that a given value u 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

UMinimum() public static méthode

Gets the Mann-Whitney's U statistic for the smaller sample.
public static UMinimum ( double ranks, int n1, int n2 ) : double
ranks double
n1 int
n2 int
Résultat double

USample1() public static méthode

Gets the Mann-Whitney's U statistic for the first sample.
public static USample1 ( double rank1, int n2 ) : double
rank1 double
n2 int
Résultat double

USample2() public static méthode

Gets the Mann-Whitney's U statistic for the second sample.
public static USample2 ( double rank2, int n1 ) : double
rank2 double
n1 int
Résultat double