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dc.contributor.authorMantalos, P.en
dc.contributor.authorZografos, K.en
dc.date.accessioned2015-11-24T17:24:53Z-
dc.date.available2015-11-24T17:24:53Z-
dc.identifier.issn0094-9655-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/12969-
dc.rightsDefault Licence-
dc.subjectagresti and coull confidence intervalen
dc.subjectbinomial distributionen
dc.subjectbootstrapen
dc.subjectconfidence intervalsen
dc.subjectcoverage probabilityen
dc.subjectconfidence-intervalsen
dc.titleInterval estimation for a binomial proportion: a bootstrap approachen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDoi 10.1080/00949650701749356-
heal.identifier.secondary<Go to ISI>://000260497300010-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.publicationDate2008-
heal.abstractThis paper discusses the classic but still current problem of interval estimation of a binomial proportion. Bootstrap methods are presented for constructing such confidence intervals in a routine, automatic way. Three confidence intervals for a binomial proportion are compared and studied by means of a simulation study, namely: the Wald confidence interval, the Agresti-Coull interval and the bootstrap-t interval. A new confidence interval, the Agresti-Coull interval with bootstrap critical values, is also introduced and its good behaviour related to the average coverage probability is established by means of simulations.en
heal.publisherTaylor & Francisen
heal.journalNameJournal of Statistical Computation and Simulationen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ

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