On the bias of the multiple-imputation variance estimator in survey sampling

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dc.contributor.authorKim, Jae Kwangko
dc.contributor.authorBrick, JMko
dc.contributor.authorFuller, WAko
dc.contributor.authorKalton, Gko
dc.date.accessioned2016-09-08T00:53:43Z-
dc.date.available2016-09-08T00:53:43Z-
dc.date.created2016-09-07-
dc.date.created2016-09-07-
dc.date.issued2006-
dc.identifier.citationJOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, v.68, pp.509 - 521-
dc.identifier.issn1369-7412-
dc.identifier.urihttp://hdl.handle.net/10203/212954-
dc.description.abstractMultiple imputation is a method of estimating the variances of estimators that are constructed with some imputed data. We give an expression for the bias of the multiple-imputation variance estimator for data that are collected with a complex sample design. The bias may be sizable for certain estimators, such as domain means, when a large fraction of the values are imputed. A bias-adjusted variance estimator is suggested-
dc.languageEnglish-
dc.publisherBLACKWELL PUBLISHING-
dc.subjectHOT DECK IMPUTATION-
dc.subjectNONRESPONSE-
dc.subjectREGRESSION-
dc.titleOn the bias of the multiple-imputation variance estimator in survey sampling-
dc.typeArticle-
dc.identifier.wosid000237597200009-
dc.identifier.scopusid2-s2.0-33646696129-
dc.type.rimsART-
dc.citation.volume68-
dc.citation.beginningpage509-
dc.citation.endingpage521-
dc.citation.publicationnameJOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY-
dc.identifier.doi10.1111/j.1467-9868.2006.00546.x-
dc.contributor.localauthorKim, Jae Kwang-
dc.contributor.nonIdAuthorBrick, JM-
dc.contributor.nonIdAuthorFuller, WA-
dc.contributor.nonIdAuthorKalton, G-
dc.type.journalArticleArticle-
dc.subject.keywordAuthormissing data-
dc.subject.keywordAuthornon-response-
dc.subject.keywordAuthorsurvey sampling-
dc.subject.keywordPlusHOT DECK IMPUTATION-
dc.subject.keywordPlusNONRESPONSE-
dc.subject.keywordPlusREGRESSION-
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