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A new multiple imputation method for bounded missing values

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dc.contributor.authorKwon, Tae Yeon-
dc.contributor.authorPark, Yousung-
dc.date.accessioned2021-09-04T09:49:52Z-
dc.date.available2021-09-04T09:49:52Z-
dc.date.created2021-06-18-
dc.date.issued2015-12-
dc.identifier.issn0167-7152-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/91654-
dc.description.abstractA proportioned residual draw method is introduced to impute bounded missing values. It is shown that this new regression-based imputation method is least biased and robust for heavy-tailed and skewed error distributions, regardless of number of boundaries and missing mechanisms. (C) 2015 Elsevier B.V. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE BV-
dc.titleA new multiple imputation method for bounded missing values-
dc.typeArticle-
dc.contributor.affiliatedAuthorKwon, Tae Yeon-
dc.contributor.affiliatedAuthorPark, Yousung-
dc.identifier.doi10.1016/j.spl.2015.08.028-
dc.identifier.scopusid2-s2.0-84941641562-
dc.identifier.wosid000364607300029-
dc.identifier.bibliographicCitationSTATISTICS & PROBABILITY LETTERS, v.107, pp.204 - 209-
dc.relation.isPartOfSTATISTICS & PROBABILITY LETTERS-
dc.citation.titleSTATISTICS & PROBABILITY LETTERS-
dc.citation.volume107-
dc.citation.startPage204-
dc.citation.endPage209-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.subject.keywordAuthorMultiple imputation-
dc.subject.keywordAuthorBoundary condition-
dc.subject.keywordAuthorHot-deck-
dc.subject.keywordAuthorProportioned residuals-
dc.subject.keywordAuthorBoundary information matching-
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