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A Sampling Design for Health Index Survey

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dc.contributor.authorJea-BokRyu-
dc.contributor.authorKay-OLee-
dc.contributor.authorYoung-WonKim-
dc.date.available2021-02-22T16:32:23Z-
dc.date.issued2002-08-
dc.identifier.issn2287-7843-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/16455-
dc.description.abstractWe propose a new sampling design for the 2001 Health Index Survey at Seoul. In this stratified two-stage sampling design, the ED(enumeration district) of 2000 Population and Housing Census is used as primary sampling unit and the Gu is used as stratification variable in order to obtain the sub-domain estimate for 25 Gu's as well as population estimate for Seoul. The sample ED's are systematically selected after the Ed's are ordered by location and property to obtain a representative sample. And also, the imputation methods for item nonresponses are suggested.-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국통계학회-
dc.titleA Sampling Design for Health Index Survey-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitationCommunications for Statistical Applications and Methods, v.9, no.2, pp 26-
dc.citation.titleCommunications for Statistical Applications and Methods-
dc.citation.volume9-
dc.citation.number2-
dc.citation.startPage26-
dc.identifier.kciidART000903164-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorClassification and regression tree-
dc.subject.keywordAuthorOptimal allocation-
dc.subject.keywordAuthorVariance estimation-
dc.subject.keywordAuthorImputation-
dc.subject.keywordAuthorClassification and regression tree-
dc.subject.keywordAuthorOptimal allocation-
dc.subject.keywordAuthorVariance estimation-
dc.subject.keywordAuthorImputation-
dc.identifier.urlhttp://kiss.kstudy.com/thesis/thesis-view.asp?key=1951305-
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