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Stationary Bootstrap for U-Statistics under Strong Mixing

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dc.contributor.authorHwang, Eunju-
dc.contributor.authorShin, Dong Wan-
dc.date.available2020-02-28T10:44:34Z-
dc.date.created2020-02-06-
dc.date.issued2015-01-
dc.identifier.issn2287-7843-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/10894-
dc.description.abstractValidity of the stationary bootstrap of Politis and Romano (1994) is proved for U-statistics under strong mixing. Weak and strong consistencies are established for the stationary bootstrap of U-statistics. The theory is applied to a symmetry test which is a U-statistic regarding a kernel density estimator. The theory enables the bootstrap confidence intervals of the means of the U-statistics. A Monte-Carlo experiment for bootstrap confidence intervals confirms the asymptotic theory.-
dc.language영어-
dc.language.isoen-
dc.publisherKOREAN STATISTICAL SOC-
dc.relation.isPartOfCOMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS-
dc.titleStationary Bootstrap for U-Statistics under Strong Mixing-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass2-
dc.identifier.wosid000409435400010-
dc.identifier.doi10.5351/CSAM.2015.22.1.081-
dc.identifier.bibliographicCitationCOMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS, v.22, no.1, pp.81 - 93-
dc.identifier.kciidART001958772-
dc.description.isOpenAccessN-
dc.citation.endPage93-
dc.citation.startPage81-
dc.citation.titleCOMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS-
dc.citation.volume22-
dc.citation.number1-
dc.contributor.affiliatedAuthorHwang, Eunju-
dc.type.docTypeArticle-
dc.subject.keywordAuthorStationary bootstrap-
dc.subject.keywordAuthorU-statistic-
dc.subject.keywordAuthorstrong mixing-
dc.subject.keywordAuthorstrong consistency-
dc.subject.keywordAuthorweak consistency-
dc.subject.keywordAuthorMonte Carlo study-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.description.journalRegisteredClasskci-
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