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Estimating the simultaneous confidence levels for the difference of proportions from multivariate binomial distributions

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dc.contributor.authorJeong, Hyeong Chul-
dc.contributor.authorJhun, Myoungshic-
dc.contributor.authorLee, Jae Won-
dc.date.accessioned2021-09-09T17:07:56Z-
dc.date.available2021-09-09T17:07:56Z-
dc.date.created2021-06-10-
dc.date.issued2007-09-
dc.identifier.issn1226-3192-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/125714-
dc.description.abstractFor the two groups data from multivariate binomial distribution, we consider a bootstrap approach to inferring the simultaneous confidence level and its standard error of a collection of the dependent confidence intervals for the difference of proportions with an experimentwise error rate at the a level are presented. The bootstrap method is used to estimate the simultaneous confidence probability for the difference of proportions.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherKOREAN STATISTICAL SOC-
dc.subjectMULTIPLE TESTS-
dc.subjectINTERVALS-
dc.subjectBOOTSTRAP-
dc.titleEstimating the simultaneous confidence levels for the difference of proportions from multivariate binomial distributions-
dc.typeArticle-
dc.contributor.affiliatedAuthorJhun, Myoungshic-
dc.contributor.affiliatedAuthorLee, Jae Won-
dc.identifier.wosid000255192500007-
dc.identifier.bibliographicCitationJOURNAL OF THE KOREAN STATISTICAL SOCIETY, v.36, no.3, pp.397 - 410-
dc.relation.isPartOfJOURNAL OF THE KOREAN STATISTICAL SOCIETY-
dc.citation.titleJOURNAL OF THE KOREAN STATISTICAL SOCIETY-
dc.citation.volume36-
dc.citation.number3-
dc.citation.startPage397-
dc.citation.endPage410-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.identifier.kciidART001079889-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.subject.keywordPlusMULTIPLE TESTS-
dc.subject.keywordPlusINTERVALS-
dc.subject.keywordPlusBOOTSTRAP-
dc.subject.keywordAuthorbootstrap-
dc.subject.keywordAuthormultivariate binomial distribution-
dc.subject.keywordAuthorsimultaneous confidence levels-
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