Generalized multivariate rank type test statistics via spatial U-quantiles

被引:1
|
作者
Zhou, Weihua [1 ]
Serfling, Robert [2 ]
机构
[1] Univ N Carolina, Dept Math & Stat, Charlotte, NC 28223 USA
[2] Univ Texas Dallas, Dept Math Sci, Richardson, TX 75083 USA
基金
美国国家科学基金会;
关键词
hypothesis tests; multivariate analysis; nonparametric; generalized ranks; spatial quantiles; multiple regression; multivariate dispersion;
D O I
10.1016/j.spl.2007.07.010
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The classical univariate sign and signed rank tests for location have been extended over the years to the multivariate setting, including recent robust rotation invariant "spatial" versions. Here we introduce a broad class of rotation invariant multivariate spatial generalized rank type test statistics. For a given inference problem not restricted to location, the test statistics are linked through Bahadur-Kiefer representations with spatial median estimators in appropriately matched U-quantile location models. Under null and contiguous alternative hypotheses, related quadratic form statistics have central and noncentral chi-square limit distributions. Robustness properties in terms of breakdown points and influence functions of the associated estimators are quite favorable. Illustrative applications cover location, multivariate dispersion, and multiple linear regression. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:376 / 383
页数:8
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