C# 클래스 Accord.Statistics.Testing.Power.BaseTwoSamplePowerAnalysis

상속: ITwoSamplePowerAnalysis

Private Properties

프로퍼티	타입	설명

공개 메소드들

메소드	설명
Clone ( ) : object	Creates a new object that is a copy of the current instance.
ComputeEffect ( ) : void	Computes the minimum detectable effect size for the test considering the power given in Power, the number of samples in TotalSamples and the significance level Size.
ComputePower ( ) : void	Computes the power for a test with givens values of effect size and number of samples under Size.
ComputeSamples ( double proportion = 1 ) : void	Computes the recommended sample size for the test to attain the power indicated in Power considering values of Effect and Size.
ComputeSize ( ) : void	Computes the minimum significance level for the test considering the power given in Power, the number of samples in TotalSamples and the effect size Effect.
GetDiferentiableUnits ( double standardDeviation ) : double	Gets the minimum difference in the experiment units to which it is possible to detect a difference.
GetDiferentiableUnits ( double var1, double var2 ) : double	Gets the minimum difference in the experiment units to which it is possible to detect a difference.
ToString ( ) : string	Converts the numeric power of this test to its equivalent string representation.
ToString ( string format, IFormatProvider formatProvider ) : string	Converts the numeric power of this test to its equivalent string representation.

보호된 메소드들

메소드	설명
BaseTwoSamplePowerAnalysis ( DistributionTail tail ) : System	Constructs a new power analysis for a two-sample test.

메소드 상세

BaseTwoSamplePowerAnalysis() 보호된 메소드

Constructs a new power analysis for a two-sample test.

protected BaseTwoSamplePowerAnalysis ( DistributionTail tail ) : System
tail	DistributionTail
리턴	System

Clone() 공개 메소드

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

public Clone ( ) : object
리턴	object

ComputeEffect() 공개 메소드

Computes the minimum detectable effect size for the test considering the power given in Power, the number of samples in TotalSamples and the significance level Size.

public ComputeEffect ( ) : void
리턴	void

ComputePower() 공개 추상적인 메소드

Computes the power for a test with givens values of effect size and number of samples under Size.

public abstract ComputePower ( ) : void
리턴	void

ComputeSamples() 공개 메소드

Computes the recommended sample size for the test to attain the power indicated in Power considering values of Effect and Size.

public ComputeSamples ( double proportion = 1 ) : void
proportion	double
리턴	void

ComputeSize() 공개 메소드

Computes the minimum significance level for the test considering the power given in Power, the number of samples in TotalSamples and the effect size Effect.

public ComputeSize ( ) : void
리턴	void

GetDiferentiableUnits() 공개 메소드

Gets the minimum difference in the experiment units to which it is possible to detect a difference.

public GetDiferentiableUnits ( double standardDeviation ) : double
standardDeviation	double	The common standard deviation for the samples.
리턴	double

GetDiferentiableUnits() 공개 메소드

Gets the minimum difference in the experiment units to which it is possible to detect a difference.

public GetDiferentiableUnits ( double var1, double var2 ) : double
var1	double	The variance for the first sample.
var2	double	The variance for the second sample.
리턴	double

ToString() 공개 메소드

Converts the numeric power of this test to its equivalent string representation.

public ToString ( ) : string
리턴	string

ToString() 공개 메소드

Converts the numeric power of this test to its equivalent string representation.

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