Class UnconditionedExactTest.Result

java.lang.Object

org.apache.commons.statistics.inference.BaseSignificanceResult

org.apache.commons.statistics.inference.UnconditionedExactTest.Result

All Implemented Interfaces:

SignificanceResult

Enclosing class:

UnconditionedExactTest

public static final class UnconditionedExactTest.Result
extends BaseSignificanceResult

Result for the unconditioned exact test.

This class is immutable.

Since:

1.1

Field Summary

Fields

Modifier and Type	Field	Description
private final double	pi	Nuisance parameter.

Constructor Summary

Constructors

Constructor	Description
Result(double statistic)	Create an instance where all tables are more extreme, i.e.
Result(double statistic, double pi, double p)

Method Summary

Modifier and Type	Method	Description
double	getNuisanceParameter()	Gets the nuisance parameter that maximised the probability sum of the as or more extreme tables.
double	getStatistic()	Returns the test statistic.

Methods inherited from class BaseSignificanceResult

getPValue

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface SignificanceResult

reject

Field Details

pi

private final double pi

Nuisance parameter.

Constructor Details

Result

Result(double statistic)

Create an instance where all tables are more extreme, i.e. the p-value is 1.0.

Parameters:

statistic - Test statistic.

Result

Result(double statistic,
 double pi,
 double p)

Parameters:

statistic - Test statistic.

pi - Nuisance parameter.

p - Result p-value.

Method Details

getStatistic

public double getStatistic()

Returns the test statistic.

The value of the statistic is dependent on the method used to determine the more extreme tables.

Specified by:

getStatistic in interface SignificanceResult

Overrides:

getStatistic in class BaseSignificanceResult

Returns:

the statistic

getNuisanceParameter

public double getNuisanceParameter()

Gets the nuisance parameter that maximised the probability sum of the as or more extreme tables.

Returns:

the nuisance parameter.