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More good news on the HKM test for multivariate reflected symmetry about an unknown centre

机译:关于HYM的多变量反映对称对称对对称的更多好消息

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摘要

We revisit the problem of testing for multivariate reflected symmetry about an unspecified point. Although this testing problem is invariant with respect to full-rank affine transformations, among the few hitherto proposed tests only a class of tests studied in Henze et al. (J Multivar Anal 87:275-297, 2003) that depends on a positive parameter a respects this property. We identify a measure of deviation Delta a (say) from symmetry associated with the test statistic Tn,a (say), and we obtain the limit normal distribution of Tn,a as n ->infinity under a fixed alternative to symmetry. Since a consistent estimator of the variance of this limit normal distribution is available, we obtain an asymptotic confidence interval for Delta a. The test, when applied to a classical data set, strongly rejects the hypothesis of reflected symmetry, although other tests even do not object against the much stronger hypothesis of elliptical symmetry.
机译:我们重新审视对未指定点的多变量反射对称性的测试问题。 虽然这种测试问题是关于全级仿射变换的不变性,但在迄今为止的少数众所周知,众所周知的测试只在亨泽等人中研究了一类测试。 (J Multivar Anal 87:275-297,2003),其取决于肯定参数A的尊重该属性。 我们从与测试统计TN,a(例如)相关联的对称性识别偏差ΔA(例如)的衡量标准,并且我们在对称的固定替代方案下获得TN,A AS N - > Infinate的极限正态分布。 由于可获得该极限正态分布方差的一致估计,因此我们获得了Delta A的渐近置信区间。 测试,当应用于经典数据集时,强烈地抑制反射对称的假设,尽管其他测试甚至不会对抗椭圆对称的更强大的假设。

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