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dc.contributor.authorKateri, M.en
dc.contributor.authorPapaioannou, T.en
dc.date.accessioned2015-11-24T17:21:58Z-
dc.date.available2015-11-24T17:21:58Z-
dc.identifier.issn0162-1459-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/12548-
dc.rightsDefault Licence-
dc.subjectdiagonal asymmetryen
dc.subjectf-divergenceen
dc.subjectmarginal homogeneityen
dc.subjectquasi-symmetryen
dc.subjectsymmetryen
dc.subjecttriangular asymmetryen
dc.subjectordered categoriesen
dc.subjectassociationen
dc.titleAsymmetry models for contingency tablesen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.secondary<Go to ISI>://A1997XU87800033-
heal.identifier.secondaryhttp://www.jstor.org/stable/pdfplus/2965577.pdf?acceptTC=true-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.publicationDate1997-
heal.abstractFor the quasi-symmetry (QS) model, applicable to square contingency tables with commensurable classification variables. it is proved that under certain conditions, it is the closest model to symmetry in terms of the KUllback-Leibler distance. Replacing the Kullback-Leibler distance by f-divergence we introduce a generalized quasi-symmetry model, the QS[f], and develop interpretational aspects for its parameters. QS is a special case of QS[f], whereas the most characteristic of the newly introduced QS-type models is the Pearsonian QS model. We compute maximum likelihood estimates of the parameters of the Pearsonian QS model and compare it, through examples and simulation studies, to the classical QS model in terms of goodness of fit and of the powers of the tests for marginal homogeneity conditional on the QS and Pearsonian PS models.en
heal.journalNameJournal of the American Statistical Associationen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ

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