Diagnostics for residual outliers using deviance component in binary logistic regression.
Detection of outliers based on residuals has received great interest in logistic regression. These methods like Pearson residuals and deviance residuals are only reliable for identifying a single outlier but fails for multiple outlier due to the masking and swamping problems. Therefore it is necessa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
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IDOSI Publications
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/25295/1/Diagnostics%20for%20residual%20outliers%20using%20deviance%20component%20in%20binary%20logistic%20regression.pdf |
| _version_ | 1796970730516119552 |
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| author | Ahmad, Sanizah Midi, Habshah Mohamed Ramli, Norazan |
| author_facet | Ahmad, Sanizah Midi, Habshah Mohamed Ramli, Norazan |
| author_sort | Ahmad, Sanizah |
| collection | UPM |
| description | Detection of outliers based on residuals has received great interest in logistic regression. These methods like Pearson residuals and deviance residuals are only reliable for identifying a single outlier but fails for multiple outlier due to the masking and swamping problems. Therefore it is necessary to detect these outliers and take appropriate measures to obtain a good fit. In this study, we developed a new diagnostic method on the identification of residual outliers in logistic regression based on deviance component. The performance of the proposed diagnostic method is investigated through numerical examples and Monte Carlo simulation study. The result indicates that the proposed method manages to correctly identify all the outliers. |
| first_indexed | 2024-03-06T08:02:24Z |
| format | Article |
| id | upm.eprints-25295 |
| institution | Universiti Putra Malaysia |
| language | English English |
| last_indexed | 2024-03-06T08:02:24Z |
| publishDate | 2011 |
| publisher | IDOSI Publications |
| record_format | dspace |
| spelling | upm.eprints-252952015-10-08T04:17:34Z http://psasir.upm.edu.my/id/eprint/25295/ Diagnostics for residual outliers using deviance component in binary logistic regression. Ahmad, Sanizah Midi, Habshah Mohamed Ramli, Norazan Detection of outliers based on residuals has received great interest in logistic regression. These methods like Pearson residuals and deviance residuals are only reliable for identifying a single outlier but fails for multiple outlier due to the masking and swamping problems. Therefore it is necessary to detect these outliers and take appropriate measures to obtain a good fit. In this study, we developed a new diagnostic method on the identification of residual outliers in logistic regression based on deviance component. The performance of the proposed diagnostic method is investigated through numerical examples and Monte Carlo simulation study. The result indicates that the proposed method manages to correctly identify all the outliers. IDOSI Publications 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/25295/1/Diagnostics%20for%20residual%20outliers%20using%20deviance%20component%20in%20binary%20logistic%20regression.pdf Ahmad, Sanizah and Midi, Habshah and Mohamed Ramli, Norazan (2011) Diagnostics for residual outliers using deviance component in binary logistic regression. World Applied Sciences Journal, 14 (8). pp. 1125-1130. ISSN 1818-4952; ESSN: 1991-6426 English |
| spellingShingle | Ahmad, Sanizah Midi, Habshah Mohamed Ramli, Norazan Diagnostics for residual outliers using deviance component in binary logistic regression. |
| title | Diagnostics for residual outliers using deviance component in binary logistic regression. |
| title_full | Diagnostics for residual outliers using deviance component in binary logistic regression. |
| title_fullStr | Diagnostics for residual outliers using deviance component in binary logistic regression. |
| title_full_unstemmed | Diagnostics for residual outliers using deviance component in binary logistic regression. |
| title_short | Diagnostics for residual outliers using deviance component in binary logistic regression. |
| title_sort | diagnostics for residual outliers using deviance component in binary logistic regression |
| url | http://psasir.upm.edu.my/id/eprint/25295/1/Diagnostics%20for%20residual%20outliers%20using%20deviance%20component%20in%20binary%20logistic%20regression.pdf |
| work_keys_str_mv | AT ahmadsanizah diagnosticsforresidualoutliersusingdeviancecomponentinbinarylogisticregression AT midihabshah diagnosticsforresidualoutliersusingdeviancecomponentinbinarylogisticregression AT mohamedramlinorazan diagnosticsforresidualoutliersusingdeviancecomponentinbinarylogisticregression |