Uses of Class
gov.sandia.cognition.statistics.method.AbstractMultipleHypothesisComparison

Packages that use AbstractMultipleHypothesisComparison
gov.sandia.cognition.statistics.method Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods. 
 

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

Subclasses of AbstractMultipleHypothesisComparison in gov.sandia.cognition.statistics.method
 class AbstractPairwiseMultipleHypothesisComparison<StatisticType extends AbstractPairwiseMultipleHypothesisComparison.Statistic>
          A multiple-hypothesis comparison algorithm based on making multiple pair-wise null-hypothesis comparisons.
 class BonferroniCorrection
          The Bonferroni correction takes a pair-wise null-hypothesis test and generalizes it to multiple comparisons by adjusting the requisite p-value to find significance as alpha / NumComparisons.
 class HolmCorrection
          The Holm correction is a uniformly tighter bound than the Bonferroni/Sidak correction by first sorting the pair-wide p-values and then adjusting the p-values by the number of remaining hypotheses.
 class NemenyiConfidence
          The Nemenyi test is the rank-based analogue of the Tukey multiple-comparison test.
 class ShafferStaticCorrection
          The Shaffer Static Correction uses logical relationships to tighten up the Bonferroni/Sidak corrections when performing pairwise multiple hypothesis comparisons.
 class SidakCorrection
          The Sidak correction takes a pair-wise null-hypothesis test and generalizes it to multiple comparisons by adjusting the requisite p-value to find significance as alpha / NumComparisons.
 class TukeyKramerConfidence
          Tukey-Kramer test is the multiple-comparison generalization of the unpaired Student's t-test when conducting multiple comparisons.