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dc.contributor.authorKateri, M.en
dc.contributor.authorAhmad, R.en
dc.contributor.authorPapaioannou, T.en
dc.date.accessioned2015-11-24T17:25:45Z-
dc.date.available2015-11-24T17:25:45Z-
dc.identifier.issn8755-0024-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/13091-
dc.rightsDefault Licence-
dc.subjectcontingency tables analysisen
dc.subjectassociation modelsen
dc.subjectorthogonal polynomialsen
dc.subject2-way contingency-tablesen
dc.subjectlog-linear modelsen
dc.subjectcross-classificationsen
dc.subjectmaximum-likelihooden
dc.subjectordered categoriesen
dc.subjectsetsen
dc.titleNew features in the class of association modelsen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.secondary<Go to ISI>://000074869400003-
heal.identifier.secondaryhttp://onlinelibrary.wiley.com/store/10.1002/(SICI)1099-0747(199806)14:2<125::AID-ASM340>3.0.CO;2-F/asset/340_ftp.pdf?v=1&t=h32qkhm8&s=f32adebab7e835ac72647fed32a0cdf30741123d-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.publicationDate1998-
heal.abstractThe most common association models are the U-, R-, C- and PC-models, achieved when only one dimension on the association is considered as significant (M = 1). Whenever more than one dimensions are significant (M > 1), the only kind of association assumed for each dimension is of the RC-type with the exception of Goodman's(1) R + C + RC, R + RC, C + RC, U + RC and R + C models. Extending the idea of U-, R-, and C-models to association models with M > 1, relaxing the equidistance principle for successive categories for the known scores and using orthogonal polynomials, some new models are developed. Two classical sets of data are used to illustrate the advantages of the newly introduced models. Comparisons in terms of chi-square goodness of fit indicate that some of the newly introduced models perform better than the models fitted so far on these data sets. (C) 1998 John Wiley & Sons, Ltd.en
heal.journalNameApplied Stochastic Models and Data Analysisen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ

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