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Ridge regression estimation for survey samples

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dc.contributor.authorPark, Mingue-
dc.contributor.authorYang, Min-
dc.date.accessioned2021-09-09T16:31:51Z-
dc.date.available2021-09-09T16:31:51Z-
dc.date.created2021-06-15-
dc.date.issued2008-
dc.identifier.issn0361-0926-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/125548-
dc.description.abstractThis paper describes procedure for constructing a vector of regression weights. Under the regression superpopulation model, the ridge regression estimator that has minimum model mean squared error is derived. Through a simulation study, we compare the ridge regression weights, regression weights, quadratic programming weights, and raking ratio weights. The ridge regression procedure with weights bounded by zero performed very well.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherTAYLOR & FRANCIS INC-
dc.titleRidge regression estimation for survey samples-
dc.typeArticle-
dc.contributor.affiliatedAuthorPark, Mingue-
dc.identifier.doi10.1080/03610920701669694-
dc.identifier.scopusid2-s2.0-38649090057-
dc.identifier.wosid000252582700007-
dc.identifier.bibliographicCitationCOMMUNICATIONS IN STATISTICS-THEORY AND METHODS, v.37, no.4, pp.532 - 543-
dc.relation.isPartOfCOMMUNICATIONS IN STATISTICS-THEORY AND METHODS-
dc.citation.titleCOMMUNICATIONS IN STATISTICS-THEORY AND METHODS-
dc.citation.volume37-
dc.citation.number4-
dc.citation.startPage532-
dc.citation.endPage543-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.subject.keywordAuthordesign consistency-
dc.subject.keywordAuthormodel MSE-
dc.subject.keywordAuthorregression superpopulation model-
dc.subject.keywordAuthorridge regression-
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