Uses of Interface
gov.sandia.cognition.statistics.method.NullHypothesisEvaluator

Packages that use NullHypothesisEvaluator

Package	Description
gov.sandia.cognition.learning.experiment	Provides experiments for validating the performance of learning algorithms.
gov.sandia.cognition.statistics.method	Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.

Uses of NullHypothesisEvaluator in gov.sandia.cognition.learning.experiment

Methods in gov.sandia.cognition.learning.experiment that return NullHypothesisEvaluator

Modifier and Type	Method and Description
NullHypothesisEvaluator<java.util.Collection<? extends StatisticType>>	LearnerComparisonExperiment.getStatisticalTest() Gets the statistical test to use to determine if the two learners are significantly different.

Methods in gov.sandia.cognition.learning.experiment with parameters of type NullHypothesisEvaluator

Modifier and Type	Method and Description
void	LearnerComparisonExperiment.setStatisticalTest(NullHypothesisEvaluator<java.util.Collection<? extends StatisticType>> statisticalTest) Sets the statistical test to use to determine if the two learners are significantly different.

Constructors in gov.sandia.cognition.learning.experiment with parameters of type NullHypothesisEvaluator

Constructor and Description
LearnerComparisonExperiment(ValidationFoldCreator<InputDataType,FoldDataType> foldCreator, PerformanceEvaluator<? super LearnedType,? super java.util.Collection<? extends FoldDataType>,? extends StatisticType> performanceEvaluator, NullHypothesisEvaluator<java.util.Collection<? extends StatisticType>> statisticalTest, Summarizer<? super StatisticType,? extends SummaryType> summarizer) Creates a new instance of LearnerComparisonExperiment.
SupervisedLearnerComparisonExperiment(ValidationFoldCreator<InputOutputPair<InputType,OutputType>,InputOutputPair<InputType,OutputType>> foldCreator, PerformanceEvaluator<? super Evaluator<? super InputType,OutputType>,? super java.util.Collection<? extends InputOutputPair<InputType,OutputType>>,? extends StatisticType> performanceEvaluator, NullHypothesisEvaluator<java.util.Collection<? extends StatisticType>> statisticalTest, Summarizer<? super StatisticType,? extends SummaryType> summarizer) Creates a new instance of SupervisedLearnerComparisonExperiment.

Uses of NullHypothesisEvaluator in gov.sandia.cognition.statistics.method

Subinterfaces of NullHypothesisEvaluator in gov.sandia.cognition.statistics.method

Modifier and Type	Interface and Description
interface	BlockExperimentComparison<DataType> Implements a null-hypothesis multiple-comparison test from a block-design experiment.

Classes in gov.sandia.cognition.statistics.method that implement NullHypothesisEvaluator

Modifier and Type	Class and Description
class	AnalysisOfVarianceOneWay Analysis of Variance single-factor null-hypothesis testing procedure, usually called "1-way ANOVA".
class	ChiSquareConfidence This is the chi-square goodness-of-fit test.
class	FisherSignConfidence This is an implementation of the Fisher Sign Test, which is a robust nonparameteric test to determine if two groups have a different mean.
class	FriedmanConfidence The Friedman test determines if the rankings associated with various treatments are equal.
class	GaussianConfidence This test is sometimes called the "Z test" Defines a range of values that the statistic can take, as well as the confidence that the statistic is between the lower and upper bounds.
class	KolmogorovSmirnovConfidence Performs a Kolmogorov-Smirnov Confidence Test.
class	MannWhitneyUConfidence Performs a Mann-Whitney U-test on the given data (usually simply called a "U-test", sometimes called a Wilcoxon-Mann-Whitney U-test, or Wilcoxon rank-sum test).
class	MultipleComparisonExperiment A multiple comparisons experiment that does a block comparison and then a post-hoc test.
class	StudentTConfidence This class implements Student's t-tests for different uses.
class	WilcoxonSignedRankConfidence This is a Wilcoxon Signed-Rank Sum test, which performs a pair-wise test to determine if two datasets are different.

Fields in gov.sandia.cognition.statistics.method declared as NullHypothesisEvaluator

Modifier and Type	Field and Description
static NullHypothesisEvaluator<java.util.Collection<? extends java.lang.Number>>	AbstractPairwiseMultipleHypothesisComparison.DEFAULT_PAIRWISE_TEST Default pair-wise confidence test: Student's Paired t-test.
protected NullHypothesisEvaluator<java.util.Collection<? extends java.lang.Number>>	AbstractPairwiseMultipleHypothesisComparison.pairwiseTest Confidence test used for pair-wise null-hypothesis tests.

Methods in gov.sandia.cognition.statistics.method that return NullHypothesisEvaluator

Modifier and Type	Method and Description
NullHypothesisEvaluator<java.util.Collection<? extends java.lang.Number>>	AbstractPairwiseMultipleHypothesisComparison.getPairwiseTest() Getter for pairwiseTest

Methods in gov.sandia.cognition.statistics.method with parameters of type NullHypothesisEvaluator

Modifier and Type	Method and Description
protected void	AbstractPairwiseMultipleHypothesisComparison.Statistic.computePairwiseTestResults(java.util.Collection<? extends java.util.Collection<? extends java.lang.Number>> data, NullHypothesisEvaluator<java.util.Collection<? extends java.lang.Number>> pairwiseTest) Computes the pair-wise confidence test results
void	AbstractPairwiseMultipleHypothesisComparison.setPairwiseTest(NullHypothesisEvaluator<java.util.Collection<? extends java.lang.Number>> pairwiseTest) Setter for pairwiseTest

Constructors in gov.sandia.cognition.statistics.method with parameters of type NullHypothesisEvaluator

Constructor and Description
AbstractPairwiseMultipleHypothesisComparison(NullHypothesisEvaluator<java.util.Collection<? extends java.lang.Number>> pairwiseTest) Creates a new instance of BonferroniCorrection
AdjustedPValueStatistic(java.util.Collection<? extends java.util.Collection<? extends java.lang.Number>> data, double uncompensatedAlpha, double adjustedAlpha, NullHypothesisEvaluator<java.util.Collection<? extends java.lang.Number>> pairwiseTest) Creates a new instance of StudentizedMultipleComparisonStatistic
BonferroniCorrection(NullHypothesisEvaluator<java.util.Collection<? extends java.lang.Number>> pairwiseTest) Creates a new instance of BonferroniCorrection
HolmCorrection(NullHypothesisEvaluator<java.util.Collection<? extends java.lang.Number>> pairwiseTest) Creates a new instance of BonferroniCorrection
ShafferStaticCorrection(NullHypothesisEvaluator<java.util.Collection<? extends java.lang.Number>> pairwiseTest) Creates a new instance of BonferroniCorrection
SidakCorrection(NullHypothesisEvaluator<java.util.Collection<? extends java.lang.Number>> pairwiseTest) Creates a new instance of SidakCorrection
Statistic(java.util.Collection<? extends java.util.Collection<? extends java.lang.Number>> data, double uncompensatedAlpha, NullHypothesisEvaluator<java.util.Collection<? extends java.lang.Number>> pairwiseTest) Creates a new instance of StudentizedMultipleComparisonStatistic
Statistic(java.util.Collection<? extends java.util.Collection<? extends java.lang.Number>> data, double uncompensatedAlpha, NullHypothesisEvaluator<java.util.Collection<? extends java.lang.Number>> pairwiseTest) Creates a new instance of Statistic
Statistic(java.util.Collection<? extends java.util.Collection<? extends java.lang.Number>> data, double uncompensatedAlpha, NullHypothesisEvaluator<java.util.Collection<? extends java.lang.Number>> pairwiseTest) Creates a new instance of Statistic