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

상속: UnivariateContinuousDistribution
파일 보기 프로젝트 열기: accord-net/framework 1 사용 예제들

공개 메소드들

메소드 설명
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.

메소드 상세

Clone() 공개 메소드

Creates a new object that is a copy of the current instance.
public Clone ( ) : object
리턴 object

DistributionFunction() 공개 메소드

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.
리턴 double

LogProbabilityDensityFunction() 공개 메소드

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.
리턴 double

MannWhitneyDistribution() 공개 메소드

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.
리턴 System

ProbabilityDensityFunction() 공개 메소드

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.
리턴 double

ToString() 공개 메소드

Returns a System.String that represents this instance.
public ToString ( string format, IFormatProvider formatProvider ) : string
format string
formatProvider IFormatProvider
리턴 string

UMinimum() 공개 정적인 메소드

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
리턴 double

USample1() 공개 정적인 메소드

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

USample2() 공개 정적인 메소드

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