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UNION-INTERSECTION TESTING FOR OUTLIERS IN MULTIVARIATE NORMAL DATA

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dc.contributor.author CARONI, C en
dc.contributor.author PRESCOTT, P en
dc.date.accessioned 2014-03-01T01:11:34Z
dc.date.available 2014-03-01T01:11:34Z
dc.date.issued 1995 en
dc.identifier.issn 0094-9655 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/11711
dc.subject OUTLIER TESTS en
dc.subject MULTIVARIATE OUTLIERS en
dc.subject LIKELIHOOD RATIO TESTS en
dc.subject UNION INTERSECTION TESTS en
dc.subject WILKS STATISTIC en
dc.subject.classification Computer Science, Interdisciplinary Applications en
dc.subject.classification Statistics & Probability en
dc.title UNION-INTERSECTION TESTING FOR OUTLIERS IN MULTIVARIATE NORMAL DATA en
heal.type journalArticle en
heal.identifier.primary 10.1080/00949659508811631 en
heal.identifier.secondary http://dx.doi.org/10.1080/00949659508811631 en
heal.language English en
heal.publicationDate 1995 en
heal.abstract The union-intersection approach to multivariate test construction is used to develop an alternative to Wilks' likelihood ratio test statistic for testing for two or more outliers in multivariate normal data. It is shown that critical values of both statistics are poorly approximated by Bonferroni bounds. Simulated critical values are presented for both statistics for significance levels 1% and 5%, for sample sizes 10(5)30, 40, 50, 75 and 100 for 2, 3, 4 and 5 dimensions. A power comparison of the two tests in the slippage of the mean model for generating outliers indicates that the union-intersection test is the more powerful when the slippages are close to collinear. Although Wilks' test remains the preference for general use, the union-intersection test could be valuable when such special structure in the data is suspected. en
heal.publisher GORDON BREACH SCI PUBL LTD en
heal.journalName JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION en
dc.identifier.doi 10.1080/00949659508811631 en
dc.identifier.isi ISI:A1995QR59300006 en
dc.identifier.volume 51 en
dc.identifier.issue 2-4 en
dc.identifier.spage 185 en
dc.identifier.epage 196 en


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