Survival exponential entropies

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.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.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primaryDoi 10.1109/Tit.2004.842772-
heal.identifier.secondary<Go to ISI>://000227204100048-
heal.journalNameIeee Transactions on Information Theoryen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2005-
heal.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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