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SuanShu, a Java numerical and statistical library | |||||||
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java.lang.Objectcom.numericalmethod.suanshu.stats.test.HypothesisTest
com.numericalmethod.suanshu.stats.test.variance.BrownForsythe
public class BrownForsythe
The Brown–Forsythe test is a statistical test for the equality of group variances based on performing an ANOVA on a transformation of the response variable. In statistics, when a usual one-way ANOVA is performed, it is assumed that the group variances are statistically equal. If this assumption is not valid, then the resulting F-test is invalid.
| Field Summary | |
|---|---|
int |
df1
degree of freedoms |
int |
df2
degree of freedoms |
| Fields inherited from class com.numericalmethod.suanshu.stats.test.HypothesisTest |
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k, N, pValue, testStatistics |
| Constructor Summary | |
|---|---|
BrownForsythe(double[]... samples)
Perform the Brown-Forsythe test to test for equal variances of the samples. |
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| Method Summary | |
|---|---|
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 |
|---|
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 |
| Field Detail |
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public final int df1
public final int df2
| Constructor Detail |
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public BrownForsythe(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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SuanShu, a Java numerical and statistical library | |||||||
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