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The stationary bootstrap for the joint distribution of sum and maximum of stationary sequences

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dc.contributor.authorHwang, Eunju-
dc.date.available2020-02-28T17:41:55Z-
dc.date.created2020-02-06-
dc.date.issued2014-06-
dc.identifier.issn1226-3192-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/12550-
dc.description.abstractIn this work, the stationary bootstrap procedure is used to estimate the joint distribution of sum and maximum of strictly stationary strong mixing sequences. Asymptotic validity is established for stationary bootstrapping of the joint distribution of sum and maximum. (C) 2013 The Korean Statistical Society. Published by Elsevier B.V. All rights reserved.-
dc.language영어-
dc.language.isoen-
dc.publisherKOREAN STATISTICAL SOC-
dc.relation.isPartOfJOURNAL OF THE KOREAN STATISTICAL SOCIETY-
dc.subjectASYMPTOTIC-DISTRIBUTION-
dc.subjectGAUSSIAN-PROCESSES-
dc.subjectMIXING SEQUENCES-
dc.subjectRANDOM-VARIABLES-
dc.subjectWEAK DEPENDENCE-
dc.subjectCONSISTENCY-
dc.subjectSURPLUS-
dc.titleThe stationary bootstrap for the joint distribution of sum and maximum of stationary sequences-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000335281700006-
dc.identifier.doi10.1016/j.jkss.2013.09.002-
dc.identifier.bibliographicCitationJOURNAL OF THE KOREAN STATISTICAL SOCIETY, v.43, no.2, pp.225 - 233-
dc.identifier.kciidART001886903-
dc.identifier.scopusid2-s2.0-84884232304-
dc.citation.endPage233-
dc.citation.startPage225-
dc.citation.titleJOURNAL OF THE KOREAN STATISTICAL SOCIETY-
dc.citation.volume43-
dc.citation.number2-
dc.contributor.affiliatedAuthorHwang, Eunju-
dc.type.docTypeArticle-
dc.subject.keywordAuthorStationary bootstrap-
dc.subject.keywordAuthorStrong mixing-
dc.subject.keywordAuthorStationary processes-
dc.subject.keywordAuthorJoint distribution of sum and maximum-
dc.subject.keywordPlusASYMPTOTIC-DISTRIBUTION-
dc.subject.keywordPlusGAUSSIAN-PROCESSES-
dc.subject.keywordPlusMIXING SEQUENCES-
dc.subject.keywordPlusRANDOM-VARIABLES-
dc.subject.keywordPlusWEAK DEPENDENCE-
dc.subject.keywordPlusCONSISTENCY-
dc.subject.keywordPlusSURPLUS-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
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