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Identification of the occurrence of boundary solutions in a contingency table with nonignorable nonresponse

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dc.contributor.authorPark, Yousung-
dc.contributor.authorKim, Daeyoung-
dc.contributor.authorKim, Seongyong-
dc.date.accessioned2021-09-05T04:45:30Z-
dc.date.available2021-09-05T04:45:30Z-
dc.date.created2021-06-15-
dc.date.issued2014-10-
dc.identifier.issn0167-7152-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/97301-
dc.description.abstractWe establish a sufficient condition for the occurrence of nonresponse boundary solutions in a two-way square contingency table with nonignorable nonresponse. The condition depends only on the observed counts and thus it does not require computing the maximum likelihood estimates. (C) 2014 Elsevier B.V. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE BV-
dc.subjectNON-IGNORABLE NONRESPONSE-
dc.subjectLOG-LINEAR MODELS-
dc.subjectMAXIMUM-LIKELIHOOD-
dc.subjectREGRESSION-
dc.subjectSUBJECT-
dc.titleIdentification of the occurrence of boundary solutions in a contingency table with nonignorable nonresponse-
dc.typeArticle-
dc.contributor.affiliatedAuthorPark, Yousung-
dc.contributor.affiliatedAuthorKim, Seongyong-
dc.identifier.doi10.1016/j.spl.2014.06.011-
dc.identifier.scopusid2-s2.0-84903734838-
dc.identifier.wosid000341479500006-
dc.identifier.bibliographicCitationSTATISTICS & PROBABILITY LETTERS, v.93, pp.34 - 40-
dc.relation.isPartOfSTATISTICS & PROBABILITY LETTERS-
dc.citation.titleSTATISTICS & PROBABILITY LETTERS-
dc.citation.volume93-
dc.citation.startPage34-
dc.citation.endPage40-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.subject.keywordPlusNON-IGNORABLE NONRESPONSE-
dc.subject.keywordPlusLOG-LINEAR MODELS-
dc.subject.keywordPlusMAXIMUM-LIKELIHOOD-
dc.subject.keywordPlusREGRESSION-
dc.subject.keywordPlusSUBJECT-
dc.subject.keywordAuthorBoundary solutions-
dc.subject.keywordAuthorIncomplete contingency table-
dc.subject.keywordAuthorLog-linear model-
dc.subject.keywordAuthorNot missing at random-
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