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java.lang.Objectcom.numericalmethod.suanshu.stats.test.HypothesisTest
com.numericalmethod.suanshu.stats.test.variance.Bartlett
public class Bartlett
Bartlett's test is used to test if k samples are from populations with equal variances, hence homoscedasticity.
Some statistical tests, for example ANOVA, assume that variances are equal across groups or samples.
A homoscedasticity test, such as the Bartlett test, can be used to verify that assumption.
Bartlett's test is sensitive to departures from normality.
That is, if the samples come from non-normal distributions, then Bartlett's test may simply be testing for non-normality.
The Levene and BrownForsythe tests are alternatives to the Bartlett test that are less sensitive to departures from normality.
bartlett.test.
| Constructor Summary | |
|---|---|
Bartlett(double[]... samples)
Perform the Bartlett test to test for equal variances across the groups. |
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| Method Summary | |
|---|---|
java.lang.String |
getAlternativeHypothesis()
Get the description of the alternative hypothesis. |
java.lang.String |
getNullHypothesis()
Get a description of the null hypothesis. |
double |
pValue()
Get the p-value for the test statistics. |
double |
statistics()
Get the test statistics. |
| Methods inherited from class com.numericalmethod.suanshu.stats.test.HypothesisTest |
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isNullRejected, nGroups, nObs, oneSidedPvalue |
| 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 Bartlett(double[]... samples)
samples - samples| Method Detail |
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public java.lang.String getNullHypothesis()
HypothesisTest
getNullHypothesis in class HypothesisTestpublic java.lang.String getAlternativeHypothesis()
HypothesisTest
getAlternativeHypothesis in class HypothesisTestpublic double statistics()
HypothesisTest
statistics in class HypothesisTestpublic double pValue()
HypothesisTest
pValue in class HypothesisTest
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SuanShu, a Java numerical and statistical library | |||||||
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