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dc.contributor.authorBatsidis, A.en
dc.contributor.authorZografos, K.en
dc.date.accessioned2015-11-24T17:25:38Z-
dc.date.available2015-11-24T17:25:38Z-
dc.identifier.issn0361-0926-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/13074-
dc.rightsDefault Licence-
dc.subjectconsistency of estimatorsen
dc.subjectelliptically contoured distributionsen
dc.subjectestimationen
dc.subjectgeneralized wilk's distributionen
dc.subjecthypothesis testingen
dc.subjectmonotone missing dataen
dc.subjectmultivariate linear regression analysisen
dc.subjectincomplete dataen
dc.subjectinferenceen
dc.subjectvarianceen
dc.subjectpricesen
dc.titleMultivariate linear regression model with elliptically contoured distributed errors and monotone missing dependent variablesen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDoi 10.1080/03610920701653102-
heal.identifier.secondary<Go to ISI>://000252508200005-
heal.identifier.secondaryhttp://www.tandfonline.com/doi/pdf/10.1080/03610920701653102-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.publicationDate2008-
heal.abstractIn this article, the multivariate linear regression model is studied under the assumptions that the error term of this model is described by the elliptically contoured distribution and the observations on the response variables are of a monotone missing pattern. It is primarily concerned with estimation of the model parameters, as well as with the development of the likelihood ratio test in order to examine the existence of linear constraints on the regression coefficients. An illustrative example is presented for the explanation of the results.en
heal.publisherTaylor & Francisen
heal.journalNameCommunications in Statistics-Theory and Methodsen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ

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