A Nonparametric Test for Bivariate Symmetry

机译：二元对称性的非参数检验

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The paper introduces a conditionally distribution-free test of bivariate symmetry based on the sample distribution function. The test is shown to be consistent against a wide class of alternatives. In particular, if the underlying bivariate distribution is absolutely continuous, then the test is consistent against all alternatives to the null hypothesis. Power comparisons of the conditional test, a normal theory test devised by Bell and Haller, and the Wilcoxon signed rank test, are given for bivariate normal and bivariate exponential populations. (Author)

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作者
Hollander, M.;
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年度 1970
页码 p.1-25
总页数 25
原文格式 PDF
正文语种 eng
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关键词
Statistical tests ; Multivariate analysis ; Distribution functions ; Asymptotic series ; Matrix algebra ; Power ; Correlation techniques;

机译：统计检验;多变量分析;分布函数;渐近系列;矩阵代数;幂;相关技术;

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8. A Sequential Nonparametric Test for Symmetry with Applications to Process Control [R] . Reynolds, M. R. 1972

机译：对称的序贯非参数检验及其在过程控制中的应用

A Nonparametric Test for Bivariate Symmetry

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