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AN EXTENSION OF THE ANDERSON-DARLING k-SAMPLE TEST TO ARBITRARY SAMPLE SPACE PARTITION SIZES

机译:将ANDERSON-DARLING K样本检验扩展到任意样本空间分区大小

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摘要

In this paper we first show that the k-sample Anderson-Darling test is basically an average of Pearson statistics in 2 x k contingency tables that are induced by observation-based partitions of the sample space. As an extension, we construct a family of rank test statistics, indexed by c ∈ N, which is based on similarly constructed c x k partitions. An extensive simulation study, in which we compare the new test with others, suggests that generally very high powers are obtained with the new tests. Finally we propose a decomposition of the test statistic in interpretable components.
机译:在本文中,我们首先证明k样本安德森-达林检验基本上是2 x k列联表中Pearson统计量的平均值,该表是由基于样本空间的基于观察的划分引起的。作为扩展,我们构建了一个基于c∈N索引的等级检验统计数据族,它基于类似构造的c x k分区。一项广泛的仿真研究(我们在其中将新测试与其他测试进行了比较)表明,使用新测试通常可获得非常高的功率。最后,我们建议对可解释组件中的测试统计量进行分解。

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