On robustness of the test for detection of multivariate outliers

被引:2
|
作者
Bhandary, Madhusudan [1 ]
机构
[1] Columbus State Univ, Dept Math, Columbus, GA 31907 USA
关键词
mean-slippage outlier; dispersion-slippage outlier; elliptically symmetric distribution; likelihood ratio test; robustness;
D O I
10.1080/02331880701342793
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
In this paper, Wilks'[Wilks, S.S., 1963, Multivariate statistical outliers. Sankhya, Ser. A, 25, 407-426.] multivariate normal results for detection of outliers are extended to the multivariate elliptically symmetric case, with mean slippage and dispersion slippage outlier model. The main result can be viewed as a robustness property of Wilks'[ Wilks, S. S., 1963, Multivariate statistical outliers. Sankhya, Ser. A., 25, 407-426.] statistic as a likelihood ratio test statistic to detect outliers against non-normal multivariate distributions.
引用
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页码:377 / 384
页数:8
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