Sufficient jackknife-after-bootstrap method for detection of influential observations in linear regression models
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Year
: 2014DOI: 10.1007/s00362-013-0548-4
Keyword(s): Sufficient bootstrap, Jacknife, Bootstrap, Influential observation, Regression diagnostics
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Sufficient jackknife-after-bootstrap method for detection of influential observations in linear regression models
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| contributor author | Ufuk Beyaztas, Aylin Alin | |
| date accessioned | 2020-03-12T11:03:19Z | |
| date available | 2020-03-12T11:03:19Z | |
| date issued | 2014 | |
| identifier issn | 0932-5026 | |
| identifier other | 10.1007-s00362-013-0548-4.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/845430 | |
| format | general | |
| language | English | |
| publisher | Springer | |
| title | Sufficient jackknife-after-bootstrap method for detection of influential observations in linear regression models | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 6672070 | |
| subject keywords | Sufficient bootstrap, Jacknife, Bootstrap, Influential observation, Regression diagnostics | |
| identifier doi | 10.1007/s00362-013-0548-4 | |
| journal title | Statistical Papers | |
| journal volume | 55 | |
| journal issue | 4 | |
| filesize | 290131 | |
| citations | 0 |