Weighted W test for normality and asymptotics a revisit of Chen-Shapiro test for normality

被引:5
|
作者
Bai, ZD
Chen, L
机构
[1] Natl Univ Singapore, Dept Stat & Appl Probabil, Singapore 117548, Singapore
[2] Florida Int Univ, Dept Stat, Miami, FL 33199 USA
关键词
asymptotic distribution; correlation test; eigenvalue; Shapiro-Wilk statistic;
D O I
10.1016/S0378-3758(02)00110-6
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
Chen and Shapiro (J. Statist. Comput. Simulation 53 (1995) 269) proposed the QH test for normality, based upon normalized spacings, which is easy to compute and has been shown by simulations to be as powerful as or superior to the original W-test. In this paper, we propose a generalized version of the W-type tests, named the weighted W-test which includes as special cases most versions of W-type tests. The limiting behavior of the weighted W statistics and the normalized version RH of the QH statistic are investigated. The relationship between QH and W is further discussed which interprets the underlying reason why the power property of the QH test is more likely to be that of the W test than that of the W-1 test. (C) 2002 Published by Elsevier Science B.V.
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页码:485 / 503
页数:19
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