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A score test for detection of outliers in generalized linear models
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 강명욱 | - |
| dc.contributor.author | 김민경 | - |
| dc.date.available | 2021-02-22T16:16:23Z | - |
| dc.date.issued | 2004-02 | - |
| dc.identifier.issn | 1598-9402 | - |
| dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/16097 | - |
| dc.description.abstract | We consider the problem of testing for outliers in generalized linear model. We proceed by first specifying a mean shift outlier model, assuming the suspect set of ourliers is known. Given this model, we discuss standard approaches to obtaining score test for outliers as an alternative to the likelihood ratio test. | - |
| dc.format.extent | 11 | - |
| dc.language | 한국어 | - |
| dc.language.iso | KOR | - |
| dc.publisher | 한국데이터정보과학회 | - |
| dc.title | A score test for detection of outliers in generalized linear models | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.bibliographicCitation | 한국데이터정보과학회지, v.15, no.1, pp 129 - 139 | - |
| dc.citation.title | 한국데이터정보과학회지 | - |
| dc.citation.volume | 15 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 129 | - |
| dc.citation.endPage | 139 | - |
| dc.identifier.kciid | ART001130478 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kciCandi | - |
| dc.subject.keywordAuthor | Generalized linear model | - |
| dc.subject.keywordAuthor | Likelihood ratio test | - |
| dc.subject.keywordAuthor | Outlier | - |
| dc.subject.keywordAuthor | Score test | - |
| dc.subject.keywordAuthor | Generalized linear model | - |
| dc.subject.keywordAuthor | Likelihood ratio test | - |
| dc.subject.keywordAuthor | Outlier | - |
| dc.subject.keywordAuthor | Score test | - |
| dc.identifier.url | http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07243703 | - |
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