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#Com.numericalmethod.suanshu.stats.test.distribution.pearson Classes and Interfaces - 5 results found.
| Name | Description | Type | Package | Framework |
| AS159 | Algorithm AS 159 accepts a table shape (the number of rows and columns), and two vectors, the lists of row and column sums. | Class | com.numericalmethod.suanshu.stats.test.distribution.pearson | SuanShu |
| AS159 .RandomMatrix | Class | com.numericalmethod.suanshu.stats.test.distribution.pearson | SuanShu | |
| ChiSquareIndependenceTest | Pearson's chi-square test of independence assesses whether paired observations on two variables, expressed in a contingency table, are independent of each other. | Class | com.numericalmethod.suanshu.stats.test.distribution.pearson | SuanShu |
| ChiSquareIndependenceTest .Type | the available distributions used for the testThe default is the asymptotic distribution of Fisher's exact test. | Class | com.numericalmethod.suanshu.stats.test.distribution.pearson | SuanShu |
| FisherExactDistribution | Fisher's exact test distribution is, as its name states, exact, and can therefore be used regardless of the sample characteristics. | Class | com.numericalmethod.suanshu.stats.test.distribution.pearson | SuanShu |