Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/13464
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBatsidis, A.en
dc.date.accessioned2015-11-24T17:27:52Z-
dc.date.available2015-11-24T17:27:52Z-
dc.identifier.issn0233-1888-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/13464-
dc.rightsDefault Licence-
dc.subjectchange pointen
dc.subjectelliptically contoured distributionsen
dc.subjectlikelihood-ratio criteriaen
dc.subjectinvarianten
dc.subjectmaximum-likelihood estimatorsen
dc.subjectlinear-regressionen
dc.subjectstock-pricesen
dc.subjectdistributionsen
dc.subjectmodelsen
dc.titleRobustness of the likelihood ratio test for detection and estimation of a mean change point in a sequence of elliptically contoured observationsen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDoi 10.1080/02331880902758029-
heal.identifier.secondary<Go to ISI>://000277726900002-
heal.identifier.secondaryhttp://www.tandfonline.com/doi/pdf/10.1080/02331880902758029-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.publicationDate2010-
heal.abstractThe likelihood ratio test (LRT) for testing a mean change after an unknown point in a sequence of n uncorrelated p-dimensional elliptically contoured distributed observations is established. It is shown that the LRT has the same form as well as null distribution as in the multivariate normal case.en
heal.publisherTaylor & Francisen
heal.journalNameStatisticsen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ

Files in This Item:
File Description SizeFormat 
Batsidis-2010-Robustness of the li.pdf93.25 kBAdobe PDFView/Open    Request a copy


This item is licensed under a Creative Commons License Creative Commons