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dc.contributor.authorFang, Kai-Tai
dc.contributor.authorZhu, Li-Xing
dc.contributor.authorBhatti, Ishaq
dc.date.accessioned2018-11-14T12:30:57Z
dc.date.available2018-11-14T12:30:57Z
dc.date.issued1997
dc.identifier.issn0047-259X
dc.identifier.doi10.1006/jmva.1997.1673
dc.identifier.urihttp://hdl.handle.net/10072/121118
dc.description.abstractThis paper addresses the problem of testing for a multivariate distribution, which belongs to a known parametric distribution family. The estimated Cramer-Von Mises-type test statistics are constructed using projection pursuit technique. Some interested properties of the test statistics, like asymptotics, bootstrap approximations, and the tail behavior of the limits of test statistics are investigated. For computational reasons, an approximation via the number theoretic method to the extreme value and the integral on a super sphere surface is considered.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherAcademic Press
dc.publisher.placeNew York
dc.publisher.urihttps://www.elsevier.com/
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto14
dc.relation.ispartofissue1
dc.relation.ispartofjournalJournal of Multivariate Analysis
dc.relation.ispartofvolume63
dc.subject.fieldofresearchStatistics
dc.subject.fieldofresearchEconometrics
dc.subject.fieldofresearchcode0104
dc.subject.fieldofresearchcode1403
dc.titleOn Estimated Projection Pursuit-Type Cramer-von Mises Statistics
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyAn Unassigned Group, An Unassigned Department
gro.hasfulltextNo Full Text
gro.griffith.authorBhatti, Ishaq


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