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TreatmentData
- Data associated with each treatment, such as Double or Collection of Double@PublicationReferences(references={@PublicationReference(author="Juliet Popper Shaffer",title="Multiple Hypothesis Testing",type=Journal,year=1995,publication="Annual Review of Psychology",url="http://www.annualreviews.org/doi/pdf/10.1146/annurev.ps.46.020195.003021"),@PublicationReference(author="Janez Demsar",title="Statistical Comparisons of Classifiers over Multiple Data Sets",type=Journal,publication="Journal of Machine Learning Research",year=2006,url="http://www.jmlr.org/papers/volume7/demsar06a/demsar06a.pdf"),@PublicationReference(author={"Salvador Garcia","Francisco Herrera"},title="An Extension on \"Statistical Comparisons of Classi\ufb01ers over Multiple Data Sets\" for all Pairwise Comparisons",type=Journal,publication="Journal of Machine Learning Research",year=2008,url="http://150.214.190.154/publications/ficheros/2008-Garcia-JMLR.pdf"),@PublicationReference(author="Wikipedia",title="Multiple comparisons",type=WebPage,year=2011,url="http://en.wikipedia.org/wiki/Multiple_comparisons")}) public interface MultipleHypothesisComparison<TreatmentData>
Describes the functionality of an algorithm for accepting or rejecting multiple null hypothesis at the same time. These are typically run as a post-hoc test after an ANOVA or Friedman's test. The multiple comparison tests indicate which treatments are significantly different from each other once an ANOVA or Friedman's test has indicated that there are significant differences.
Nested Class Summary | |
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static interface |
MultipleHypothesisComparison.Statistic
Statistic associated with the multiple hypothesis comparison |
Field Summary | |
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static double |
DEFAULT_UNCOMPENSATED_ALPHA
Default uncompensatedAlpha, 0.05. |
Method Summary | |
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MultipleHypothesisComparison.Statistic |
evaluateNullHypotheses(Collection<? extends TreatmentData> data)
Evaluates the null hypotheses associated with the given collection of data. |
MultipleHypothesisComparison.Statistic |
evaluateNullHypotheses(Collection<? extends TreatmentData> data,
double uncompensatedAlpha)
Evaluates the null hypotheses associated with the given collection of data. |
Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable |
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clone |
Field Detail |
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static final double DEFAULT_UNCOMPENSATED_ALPHA
Method Detail |
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MultipleHypothesisComparison.Statistic evaluateNullHypotheses(Collection<? extends TreatmentData> data)
data
- Data from each treatment to consider
MultipleHypothesisComparison.Statistic evaluateNullHypotheses(Collection<? extends TreatmentData> data, double uncompensatedAlpha)
data
- Data from each treatment to consideruncompensatedAlpha
- Uncompensated alpha (p-value threshold) for the multiple comparison
test, must be [0,1]
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