Imputation using response probability

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dc.contributor.authorKim, Jae Kwangko
dc.contributor.authorPark, Hko
dc.date.accessioned2016-09-08T00:53:37Z-
dc.date.available2016-09-08T00:53:37Z-
dc.date.created2016-09-07-
dc.date.created2016-09-07-
dc.date.issued2006-03-
dc.identifier.citationCANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, v.34, no.1, pp.171 - 182-
dc.identifier.issn0319-5724-
dc.identifier.urihttp://hdl.handle.net/10203/212953-
dc.description.abstractThe authors propose a new ratio imputation method using response probability. Their estimator can be justified either under the response model or under the imputation model; it is thus doubly protected against the failure of either of these models. The authors also propose a variance estimator that can be justified under the two models. Their methodology is applicable whether the response probabilities are estimated or known. A small simulation study illustrates their technique-
dc.languageEnglish-
dc.publisherCANADIAN JOURNAL STATISTICS-
dc.subjectVARIANCE-ESTIMATION-
dc.subjectMISSING DATA-
dc.subjectINFERENCE-
dc.subjectMODELS-
dc.titleImputation using response probability-
dc.typeArticle-
dc.identifier.wosid000237203900011-
dc.identifier.scopusid2-s2.0-33744779360-
dc.type.rimsART-
dc.citation.volume34-
dc.citation.issue1-
dc.citation.beginningpage171-
dc.citation.endingpage182-
dc.citation.publicationnameCANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE-
dc.identifier.doi10.1002/cjs.5550340112-
dc.contributor.localauthorKim, Jae Kwang-
dc.contributor.nonIdAuthorPark, H-
dc.type.journalArticleArticle-
dc.subject.keywordAuthornonresponse-
dc.subject.keywordAuthorsurvey sampling-
dc.subject.keywordAuthorvariance estimation-
dc.subject.keywordPlusVARIANCE-ESTIMATION-
dc.subject.keywordPlusMISSING DATA-
dc.subject.keywordPlusINFERENCE-
dc.subject.keywordPlusMODELS-
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