Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/30745
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dc.contributor.authorZografos, Konstantinosen
dc.contributor.authorCastilla, Elenaen
dc.contributor.authorMartín, Nirianen
dc.contributor.authorPardo, Leandroen
dc.date.accessioned2021-04-04T12:49:45Z-
dc.date.available2021-04-04T12:49:45Z-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/30745-
dc.identifier.urihttp://dx.doi.org/10.26268/heal.uoi.10585-
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectCompositeen
dc.subjectLikelihooden
dc.titleComposite likelihood methods based on minimum density power divergence estimatoren
heal.typejournalArticleel
heal.type.enJournal articleen
heal.type.elΆρθρο περιοδικούel
heal.generalDescription20 σ.
heal.languageenel
heal.accesscampusel
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Τμήμα Μαθηματικώνen
heal.publicationDate2018-12-
heal.bibliographicCitationΠεριλαμβάνει βιβλιογραφικές αναφορέςel
heal.abstractIn this paper, a robust version of the Wald test statistic for composite likelihood is considered by using the composite minimum density power divergence estimator instead of the composite maximum likelihood estimator. This new family of test statistics will be called Wald-type test statistics. The problem of testing a simple and a composite null hypothesis is considered, and the robustness is studied on the basis of a simulation study. The composite minimum density power divergence estimator is also introduced, and its asymptotic properties are studied.en
heal.publisherEntropy
heal.journalNameEntropy; vol. 20 (2018)en
heal.journalTypepeer-reviewedel
heal.fullTextAvailabilitytrue-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ

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