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

Packages that use NullHypothesisEvaluator
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
 NullHypothesisEvaluator<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
 void LearnerComparisonExperiment.setStatisticalTest(NullHypothesisEvaluator<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
LearnerComparisonExperiment(ValidationFoldCreator<InputDataType,FoldDataType> foldCreator, PerformanceEvaluator<? super LearnedType,Collection<? extends FoldDataType>,? extends StatisticType> performanceEvaluator, NullHypothesisEvaluator<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>,Collection<? extends InputOutputPair<InputType,OutputType>>,? extends StatisticType> performanceEvaluator, NullHypothesisEvaluator<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
 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
 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
static NullHypothesisEvaluator<Collection<? extends Number>> AbstractPairwiseMultipleHypothesisComparison.DEFAULT_PAIRWISE_TEST
          Default pair-wise confidence test: Student's Paired t-test.
protected  NullHypothesisEvaluator<Collection<? extends Number>> AbstractPairwiseMultipleHypothesisComparison.pairwiseTest
          Confidence test used for pair-wise null-hypothesis tests.
 

Methods in gov.sandia.cognition.statistics.method that return NullHypothesisEvaluator
 NullHypothesisEvaluator<Collection<? extends Number>> AbstractPairwiseMultipleHypothesisComparison.getPairwiseTest()
          Getter for pairwiseTest
 

Methods in gov.sandia.cognition.statistics.method with parameters of type NullHypothesisEvaluator
protected  void AbstractPairwiseMultipleHypothesisComparison.Statistic.computePairwiseTestResults(Collection<? extends Collection<? extends Number>> data, NullHypothesisEvaluator<Collection<? extends Number>> pairwiseTest)
          Computes the pair-wise confidence test results
 void AbstractPairwiseMultipleHypothesisComparison.setPairwiseTest(NullHypothesisEvaluator<Collection<? extends Number>> pairwiseTest)
          Setter for pairwiseTest
 

Constructors in gov.sandia.cognition.statistics.method with parameters of type NullHypothesisEvaluator
AbstractPairwiseMultipleHypothesisComparison.Statistic(Collection<? extends Collection<? extends Number>> data, double uncompensatedAlpha, NullHypothesisEvaluator<Collection<? extends Number>> pairwiseTest)
          Creates a new instance of StudentizedMultipleComparisonStatistic
AbstractPairwiseMultipleHypothesisComparison(NullHypothesisEvaluator<Collection<? extends Number>> pairwiseTest)
          Creates a new instance of BonferroniCorrection
AdjustedPValueStatistic(Collection<? extends Collection<? extends Number>> data, double uncompensatedAlpha, double adjustedAlpha, NullHypothesisEvaluator<Collection<? extends Number>> pairwiseTest)
          Creates a new instance of StudentizedMultipleComparisonStatistic
BonferroniCorrection(NullHypothesisEvaluator<Collection<? extends Number>> pairwiseTest)
          Creates a new instance of BonferroniCorrection
HolmCorrection.Statistic(Collection<? extends Collection<? extends Number>> data, double uncompensatedAlpha, NullHypothesisEvaluator<Collection<? extends Number>> pairwiseTest)
          Creates a new instance of Statistic
HolmCorrection(NullHypothesisEvaluator<Collection<? extends Number>> pairwiseTest)
          Creates a new instance of BonferroniCorrection
ShafferStaticCorrection.Statistic(Collection<? extends Collection<? extends Number>> data, double uncompensatedAlpha, NullHypothesisEvaluator<Collection<? extends Number>> pairwiseTest)
          Creates a new instance of Statistic
ShafferStaticCorrection(NullHypothesisEvaluator<Collection<? extends Number>> pairwiseTest)
          Creates a new instance of BonferroniCorrection
SidakCorrection(NullHypothesisEvaluator<Collection<? extends Number>> pairwiseTest)
          Creates a new instance of SidakCorrection