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dc.contributor.authorZografos, K.en
dc.contributor.authorNadarajah, S.en
dc.date.accessioned2015-11-24T17:21:19Z-
dc.date.available2015-11-24T17:21:19Z-
dc.identifier.issn0018-9448-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/12449-
dc.rightsDefault Licence-
dc.subjectexponential entropyen
dc.subjectmultivariate survival functionen
dc.subjectshannon entropyen
dc.subjectresidual entropyen
dc.subjectdistributionsen
dc.subjectuncertaintyen
dc.subjectinformationen
dc.titleSurvival exponential entropiesen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDoi 10.1109/Tit.2004.842772-
heal.identifier.secondary<Go to ISI>://000227204100048-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.publicationDate2005-
heal.abstractThe multivariate survival function of a random vector X is used to define a broad class of entropy measures. Several properties of the proposed class are studied and explicit expressions of the measures derived for specific probabilistic models. The cumulative residual entropy, introduced by Rao et aL and Wang et aL, is a particular case of the proposed class of measures.en
heal.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
heal.journalNameIeee Transactions on Information Theoryen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ

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