Ridge regression estimation for survey samples
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Mingue | - |
dc.contributor.author | Yang, Min | - |
dc.date.accessioned | 2021-09-09T16:31:51Z | - |
dc.date.available | 2021-09-09T16:31:51Z | - |
dc.date.created | 2021-06-15 | - |
dc.date.issued | 2008 | - |
dc.identifier.issn | 0361-0926 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/125548 | - |
dc.description.abstract | This paper describes procedure for constructing a vector of regression weights. Under the regression superpopulation model, the ridge regression estimator that has minimum model mean squared error is derived. Through a simulation study, we compare the ridge regression weights, regression weights, quadratic programming weights, and raking ratio weights. The ridge regression procedure with weights bounded by zero performed very well. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | TAYLOR & FRANCIS INC | - |
dc.title | Ridge regression estimation for survey samples | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, Mingue | - |
dc.identifier.doi | 10.1080/03610920701669694 | - |
dc.identifier.scopusid | 2-s2.0-38649090057 | - |
dc.identifier.wosid | 000252582700007 | - |
dc.identifier.bibliographicCitation | COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, v.37, no.4, pp.532 - 543 | - |
dc.relation.isPartOf | COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | - |
dc.citation.title | COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | - |
dc.citation.volume | 37 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 532 | - |
dc.citation.endPage | 543 | - |
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.keywordAuthor | design consistency | - |
dc.subject.keywordAuthor | model MSE | - |
dc.subject.keywordAuthor | regression superpopulation model | - |
dc.subject.keywordAuthor | ridge regression | - |
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