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java.lang.Objectcom.numericalmethod.suanshu.stats.test.HypothesisTest
com.numericalmethod.suanshu.stats.test.rank.KruskalWallis
public class KruskalWallis
The Kruskal–Wallis test is a non-parametric method for testing equality of population medians among groups. It is identical to a one-way analysis of variance with the data replaced by their ranks.
Since it is a non-parametric method, the Kruskal–Wallis test does not assume a normal population, unlike the analogous one-way analysis of variance. However, the test does assume an identically-shaped and scaled distribution for each group, except for any difference in medians.
TODO: correction for ties
The R equivalent function is kruskal.test.
| Field Summary |
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| Fields inherited from class com.numericalmethod.suanshu.stats.test.HypothesisTest |
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k, N, pValue, testStatistics |
| Constructor Summary | |
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KruskalWallis(double[]... samples)
Construct a Kruskal-Wallis test for the equality of median of groups. |
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| Method Summary | |
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java.lang.String |
alternativeHypothesis()
Get a description of the alternative hypothesis. |
java.lang.String |
nullHypothesis()
Get a description of the null hypothesis. |
| Methods inherited from class com.numericalmethod.suanshu.stats.test.HypothesisTest |
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oneSidedPvalue, pValue, rejectNull, testStatistics |
| Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
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public KruskalWallis(double[]... samples)
samples - samples| Method Detail |
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public java.lang.String nullHypothesis()
HypothesisTest
nullHypothesis in class HypothesisTestpublic java.lang.String alternativeHypothesis()
HypothesisTest
alternativeHypothesis in class HypothesisTest
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