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Influence and Leverage Measures in Nonlinear Regression
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 강명욱 | - |
| dc.date.available | 2021-02-22T10:46:24Z | - |
| dc.date.issued | 2017-11 | - |
| dc.identifier.issn | 2288-1344 | - |
| dc.identifier.issn | 2508-7185 | - |
| dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/5048 | - |
| dc.description.abstract | Assessment of the influence is an important part of regression diagnostics. The measure of influence in linear regression has been extended to nonlinear regression. The connections between measures of influence and leverage are explored. We suggest a modification of the influence measure for assessing the influential observations on the parameter estimates in a nonlinear regression model. | - |
| dc.format.extent | 4 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | 계명대학교 자연과학연구소 | - |
| dc.title | Influence and Leverage Measures in Nonlinear Regression | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.22283/qbs.2017.36.2.123 | - |
| dc.identifier.bibliographicCitation | Quantitative Bio-Science, v.36, no.2, pp 123 - 126 | - |
| dc.citation.title | Quantitative Bio-Science | - |
| dc.citation.volume | 36 | - |
| dc.citation.number | 2 | - |
| dc.citation.startPage | 123 | - |
| dc.citation.endPage | 126 | - |
| dc.identifier.kciid | ART002289392 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kciCandi | - |
| dc.subject.keywordAuthor | Distance measure | - |
| dc.subject.keywordAuthor | Influential observation | - |
| dc.subject.keywordAuthor | Intrinsic curvature measure | - |
| dc.subject.keywordAuthor | Jacobian leverage | - |
| dc.identifier.url | https://www.kci.go.kr/kciportal/landing/article.kci?arti_id=ART002289392 | - |
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