A note on the equivalence of two semiparametric estimation methods for nonignorable nonresponse

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dc.contributor.authorMorikawa, Kosukeko
dc.contributor.authorKim, Jae Kwangko
dc.date.accessioned2018-08-20T07:46:29Z-
dc.date.available2018-08-20T07:46:29Z-
dc.date.created2018-08-01-
dc.date.created2018-08-01-
dc.date.issued2018-09-
dc.identifier.citationSTATISTICS & PROBABILITY LETTERS, v.140, pp.1 - 6-
dc.identifier.issn0167-7152-
dc.identifier.urihttp://hdl.handle.net/10203/244799-
dc.description.abstractWe consider semiparametric estimation with nonignorable nonresponse data where only a parametric response model is assumed. We clarify the relationship of existing estimators and propose a new estimator which attains the semiparametric efficiency bound and is robust to model misspecification. (C)2018 Elsevier B.V. All rights reserved.-
dc.languageEnglish-
dc.publisherELSEVIER SCIENCE BV-
dc.subjectSAMPLE PROPERTIES-
dc.titleA note on the equivalence of two semiparametric estimation methods for nonignorable nonresponse-
dc.typeArticle-
dc.identifier.wosid000438180200001-
dc.identifier.scopusid2-s2.0-85046771516-
dc.type.rimsART-
dc.citation.volume140-
dc.citation.beginningpage1-
dc.citation.endingpage6-
dc.citation.publicationnameSTATISTICS & PROBABILITY LETTERS-
dc.identifier.doi10.1016/j.spl.2018.03.020-
dc.contributor.localauthorKim, Jae Kwang-
dc.contributor.nonIdAuthorMorikawa, Kosuke-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorEmpirical likelihood-
dc.subject.keywordAuthorIncomplete date-
dc.subject.keywordAuthorNonignorable-
dc.subject.keywordAuthorNonresponse-
dc.subject.keywordAuthorNot missing at random (NMAR)-
dc.subject.keywordAuthorSemiparametric estimation-
dc.subject.keywordPlusSAMPLE PROPERTIES-
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