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dc.contributor.authorKateri, M.en
dc.contributor.authorAgresti, A.en
dc.date.accessioned2015-11-24T17:24:09Z-
dc.date.available2015-11-24T17:24:09Z-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/12850-
dc.rightsDefault Licence-
dc.titleA generalized regression model for a binary responseen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primary10.1016/j.spl.2009.09.016-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.publicationDate2010-
heal.abstractLogistic regression is the closest model, given its sufficient statistics, to the model of constant success probability in terms of Kullback Leibler information. A generalized binary model has this property for the more general -divergence. These results generalize to multinomial and other discrete data.en
heal.publisherElsevieren
heal.journalNameStatistics and Probability Lettersen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ

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