Informational distances and related statistics in mixed continuous and categorical variables

dc.contributor.authorMorales, D.en
dc.contributor.authorPardo, L.en
dc.contributor.authorZografos, K.en
dc.date.accessioned2015-11-24T17:24:46Z
dc.date.available2015-11-24T17:24:46Z
dc.identifier.issn0378-3758-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/12949
dc.rightsDefault Licence-
dc.subjectlocation modelen
dc.subjectmixed variablesen
dc.subjectf-dissimilarityen
dc.subjectf-dissimilarity statisticen
dc.subjectasymptotic distributionsen
dc.subjectmultivariate normal distributionen
dc.subjectexponential familyen
dc.subjecttesting statistical hypothesesen
dc.subjecttest of homogeneityen
dc.subjectmultinomial goodnessen
dc.subjectpopulationsen
dc.subjecttestsen
dc.subjectfiten
dc.subjecthypothesesen
dc.subjectmodelsen
dc.titleInformational distances and related statistics in mixed continuous and categorical variablesen
heal.abstractA general class of dissimilarity measures among k greater than or equal to 2 distributions and their sample estimators are considered, for mixed continuous and categorical variables. The distributional properties are studied for the location model and the asymptotic distributions are investigated, in the general parametric case. The asymptotic distributions of the resulting statistics are used in various settings, to test statistical hypotheses. (C) 1998 Elsevier Science B.V. All rights reserved.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.secondary<Go to ISI>://000078019400004-
heal.journalNameJournal of Statistical Planning and Inferenceen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate1998-
heal.publisherElsevieren
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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