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dc.contributor.authorZografos, K.en
dc.date.accessioned2015-11-24T17:25:59Z-
dc.date.available2015-11-24T17:25:59Z-
dc.identifier.issn0361-0926-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/13130-
dc.rightsDefault Licence-
dc.subjectmeasures of dependenceen
dc.subjectrenyi's axioms for measures of dependenceen
dc.subjectfisher's information matrixen
dc.subjectcanonical correlationen
dc.subjectmultivariate normalen
dc.subjectinterclass correlationen
dc.subjectrandom-variablesen
dc.subjectinequalitiesen
dc.titleOn a measure of dependence based on Fisher's information matrixen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDoi 10.1080/03610929808832186-
heal.identifier.secondary<Go to ISI>://000074669900007-
heal.identifier.secondaryhttp://www.tandfonline.com/doi/pdf/10.1080/03610929808832186-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.publicationDate1998-
heal.abstractA class of measures of dependence between two random vectors is defined, in terms of the canonical correlations obtained from Fisher's information matrix. Some basic properties are proved for this class of measures. Examples are given to illustrate that the class gives good measures, under normal models. Interesting measures are also arise for bivariate models where the correlation coefficient does not exist for some values of the parameters of the model.en
heal.publisherTaylor & Francisen
heal.journalNameCommunications in Statistics-Theory and Methodsen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ

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