gov.sandia.cognition.statistics.method

Interface MultipleHypothesisComparison.Statistic

All Superinterfaces:

java.lang.Cloneable, CloneableSerializable, java.io.Serializable

All Known Implementing Classes:

AbstractMultipleHypothesisComparison.Statistic, AbstractPairwiseMultipleHypothesisComparison.Statistic, AdjustedPValueStatistic, HolmCorrection.Statistic, MultipleComparisonExperiment.Statistic, NemenyiConfidence.Statistic, ShafferStaticCorrection.Statistic, TukeyKramerConfidence.Statistic

Enclosing interface:

MultipleHypothesisComparison<TreatmentData>

public static interface MultipleHypothesisComparison.Statistic
extends CloneableSerializable

Statistic associated with the multiple hypothesis comparison

Method Summary

Modifier and Type	Method and Description
boolean	acceptNullHypothesis(int i, int j) Determines if the (i,j) null hypothesis should be accepted (true) or rejected (false) .
double	getNullHypothesisProbability(int i, int j) Gets the Null Hypothesis probability associated with the (i,j) treatment comparison
double	getTestStatistic(int i, int j) Gets the test statistic associated with the (i,j) treatment comparison
int	getTreatmentCount() Gets the number of treatments being compared
double	getUncompensatedAlpha() Gets the uncompensated alpha (p-value threshold) for the multiple comparison test

Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable

clone

Method Detail

getTreatmentCount

int getTreatmentCount()

Gets the number of treatments being compared

Returns:

Number of treatments being compared

getUncompensatedAlpha

double getUncompensatedAlpha()

Gets the uncompensated alpha (p-value threshold) for the multiple comparison test

Returns:

Uncompensated alpha (p-value threshold) for the multiple comparison test

getTestStatistic

double getTestStatistic(int i,
                        int j)

Gets the test statistic associated with the (i,j) treatment comparison

Parameters:

i - First treatment index

j - Second treatment index

Returns:

Test statistic associated with the (i,j) treatment comparison

getNullHypothesisProbability

double getNullHypothesisProbability(int i,
                                    int j)

Gets the Null Hypothesis probability associated with the (i,j) treatment comparison

Parameters:

i - First treatment index

j - Second treatment index

Returns:

Null Hypothesis probability associated with the (i,j) treatment comparison

acceptNullHypothesis

boolean acceptNullHypothesis(int i,
                             int j)

Determines if the (i,j) null hypothesis should be accepted (true) or rejected (false) . Rejecting a null hypothesis typically means that there is a significant difference between the (i,j) treatment.

Parameters:

i - First treatment index

j - Second treatment index

Returns:

True if we accept the null hypothesis, false if we reject the null hypothesis