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Asymtotic expansions of the null distribution of test statistics for multivariate linear hypothesis under nonnormality

机译:非正态下多元线性假设的检验统计量零分布的渐近展开

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摘要

This paper is concerned with the distributions of some test statistics for a multivariate linear hypothesis under nonnormality. The test statistics considered in- clude the likelihood ratio statistic, the Lawley-Hotelling trace criterion and the Bartlett- Nanda-Pillai trace criterion, under normality. We derive asymptotic expansions of the Null distributions of these test statistics up to the order n~-1, where n is the sample size, Under nonnormality. It is shown that our general results can be effectively obtained by Deriving an asymptotic expansion of the distribution of a multivariate t-statistic.
机译:本文关注非正态下多元线性假设的一些检验统计量的分布。在正常情况下,考虑的检验统计量包括似然比统计量,Lawley-Hotelling跟踪准则和Bartlett-Nanda-Pillai跟踪准则。我们导出这些检验统计量的Null分布的渐近展开,直到n〜-1阶,其中n是样本量,在非正态下。结果表明,通过推导多元t统计量分布的渐近展开,可以有效地获得我们的一般结果。

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