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dc.contributor.authorAdamidis, K.en
dc.contributor.authorLoukas, S.en
dc.date.accessioned2015-11-24T17:25:26Z-
dc.date.available2015-11-24T17:25:26Z-
dc.identifier.issn0094-9655-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/13041-
dc.rightsDefault Licence-
dc.subjectbivariate poisson distributionen
dc.subjectconditional distributionsen
dc.subjectem algorithmen
dc.subjectmissing valuesen
dc.titleMl Estimation in the Bivariate Poisson-Distribution in the Presence of Missing Values Via the Em Algorithmen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.secondary<Go to ISI>://A1994PM70200004-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.publicationDate1994-
heal.abstractIn this paper we study the maximum likelihood estimation of parameters, of the bivariate Poisson distribution, by assuming a sample with a general pattern of missing observations and applying the EM algorithm (Dempster, Laird and Rubin, 1977). The application of the method is outlined in the complete-data estimation problem, considered by Holgate (1964), since the latter can be viewed as a special case of the missing-value problem studied here. The observed information matrix is also obtained by means of the EM algorithm (Louis, 1982) and numerical examples are presented. The application of Louis's method is found most appropriate and seen to produce remarkable acceleration in the convergence of the EM algorithm. Results of some interest, concerning the conditional distributions of Poisson variables, given particular sums of Poisson random variables are also established.en
heal.publisherTaylor & Francisen
heal.journalNameJournal of Statistical Computation and Simulationen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ

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