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

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

공개 메소드들

메소드 설명
BetaPrimeDistribution ( [ alpha, [ beta ) : System

Constructs a new Beta-Prime distribution with the given two non-negative shape parameters a and b.

Clone ( ) : object

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

DistributionFunction ( [ 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.

LogProbabilityDensityFunction ( [ 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 x will occur.

ProbabilityDensityFunction ( [ 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.

메소드 상세

BetaPrimeDistribution() 공개 메소드

Constructs a new Beta-Prime distribution with the given two non-negative shape parameters a and b.
public BetaPrimeDistribution ( [ alpha, [ beta ) : System
alpha [ The distribution's non-negative shape parameter a.
beta [ The distribution's non-negative shape parameter b.
리턴 System

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 x.
The Cumulative Distribution Function (CDF) describes the cumulative probability that a given value or any value smaller than it will occur.
public DistributionFunction ( [ x ) : double
x [ 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 x will occur.
public LogProbabilityDensityFunction ( [ x ) : double
x [ A single point in the distribution range.
리턴 double

ProbabilityDensityFunction() 공개 메소드

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 ( [ x ) : double
x [ 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