Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0378-3758(02)00110-6
DC FieldValue
dc.titleWeighted W test for normality and asymptotics a revisit of Chen-Shapiro test for normality
dc.contributor.authorBai, Z.D.
dc.contributor.authorChen, L.
dc.date.accessioned2014-10-28T05:16:33Z
dc.date.available2014-10-28T05:16:33Z
dc.date.issued2003-05-01
dc.identifier.citationBai, Z.D., Chen, L. (2003-05-01). Weighted W test for normality and asymptotics a revisit of Chen-Shapiro test for normality. Journal of Statistical Planning and Inference 113 (2) : 485-503. ScholarBank@NUS Repository. https://doi.org/10.1016/S0378-3758(02)00110-6
dc.identifier.issn03783758
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/105465
dc.description.abstractChen 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′ test. © 2002 Published by Elsevier Science B.V.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0378-3758(02)00110-6
dc.sourceScopus
dc.subjectAsymptotic distribution
dc.subjectCorrelation test
dc.subjectEigenvalue
dc.subjectShapiro-Wilk statistic
dc.typeArticle
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.description.doi10.1016/S0378-3758(02)00110-6
dc.description.sourcetitleJournal of Statistical Planning and Inference
dc.description.volume113
dc.description.issue2
dc.description.page485-503
dc.description.codenJSPID
dc.identifier.isiut000181546700008
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