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dc.contributor.authorHatzinikolaou, D.en
dc.contributor.authorFerentinos, K.en
dc.date.accessioned2015-11-24T17:26:53Z-
dc.date.available2015-11-24T17:26:53Z-
dc.identifier.issn0003-1305-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/13277-
dc.rightsDefault Licence-
dc.subjectcramer-rao inequalityen
dc.subjectelasticityen
dc.subjectfisher informationen
dc.subjectidentificationen
dc.titleOn the role of semielasticity in statisticsen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDoi 10.1198/0003130043213-
heal.identifier.secondary<Go to ISI>://000221135600010-
heal.identifier.secondaryhttp://www.tandfonline.com/doi/abs/10.1198/0003130043213-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.publicationDate2004-
heal.abstractAssunc (a) over tildeo showed that the lower bound for the mean squared relative error (MSRE) of an unbiased estimator can be expressed in terms of elasticity, thus providing a meaningful interpretation of the MSRE lower bound. Where the MSE is preferred to MSRE, however, the idea of elasticity does not apply and must be replaced by semielasticity. In this article, we restate the Fisher information measure, the Cramer-Rao lower bound, and the identification problem in terms of semielasticity.en
heal.journalNameAmerican Statisticianen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ

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