Power-linear models for incomplete contingency tables with nonignorable non-responses
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Seongyoung | - |
dc.contributor.author | Park, Yousung | - |
dc.date.accessioned | 2021-09-04T10:47:47Z | - |
dc.date.available | 2021-09-04T10:47:47Z | - |
dc.date.created | 2021-06-10 | - |
dc.date.issued | 2015-11-02 | - |
dc.identifier.issn | 0233-1888 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/91939 | - |
dc.description.abstract | For categorical data exhibiting nonignorable non-responses, it is well known that maximum likelihood (ML) estimates with a boundary solution are implausible and do not provide a perfect fit to the observed data even for saturated models. We provide the conditions under which ML estimates for the generalized linear model (GLM) with the usual log/logit link function have a boundary solution. These conditions introduce a new GLM with appropriately defined power link functions where its ML estimates resolve the problems arising from a boundary solution and offer useful statistics for identifying the non-response mechanism. This model is applied to a real dataset and compared with Bayesian models. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.subject | NON-IGNORABLE NONRESPONSE | - |
dc.subject | CATEGORICAL-DATA | - |
dc.subject | REGRESSION | - |
dc.subject | SUBJECT | - |
dc.title | Power-linear models for incomplete contingency tables with nonignorable non-responses | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, Yousung | - |
dc.identifier.doi | 10.1080/02331888.2013.869595 | - |
dc.identifier.scopusid | 2-s2.0-84945462241 | - |
dc.identifier.wosid | 000363326400002 | - |
dc.identifier.bibliographicCitation | STATISTICS, v.49, no.6, pp.1189 - 1203 | - |
dc.relation.isPartOf | STATISTICS | - |
dc.citation.title | STATISTICS | - |
dc.citation.volume | 49 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 1189 | - |
dc.citation.endPage | 1203 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.subject.keywordPlus | NON-IGNORABLE NONRESPONSE | - |
dc.subject.keywordPlus | CATEGORICAL-DATA | - |
dc.subject.keywordPlus | REGRESSION | - |
dc.subject.keywordPlus | SUBJECT | - |
dc.subject.keywordAuthor | boundary solution | - |
dc.subject.keywordAuthor | correlation | - |
dc.subject.keywordAuthor | generalized linear model | - |
dc.subject.keywordAuthor | nonignorable non-responses | - |
dc.subject.keywordAuthor | power link functions | - |
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