Modified standardized Pearson residual for the identification of outliers in logistic regression model
Detection of outlier based on standardized Pearson residuals has gained widespread use in logistic regression model in the presence of a single outlier. An innovation attempts in the same direction but dealing for a group of outliers have been made using generalized standardized Pearson residual whi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Network for Scientific Information
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/30400/1/Modified%20standardized%20Pearson%20residual%20for%20the%20identification%20of%20outliers%20in%20logistic%20regression%20model.pdf |
| _version_ | 1796971733388886016 |
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| author | Midi, Habshah Ariffin @ Mat Zin, Syaiba Balqish |
| author_facet | Midi, Habshah Ariffin @ Mat Zin, Syaiba Balqish |
| author_sort | Midi, Habshah |
| collection | UPM |
| description | Detection of outlier based on standardized Pearson residuals has gained widespread use in logistic regression model in the presence of a single outlier. An innovation attempts in the same direction but dealing for a group of outliers have been made using generalized standardized Pearson residual which requires a graphical or a robust estimator to find suspected outliers to form a group deletion. In this study, an alternative measure namely modified standardized Pearson residual is derived from the robust logistic diagnostic. The weakness of standardized Pearson residuals and the usefulness of generalized standardized Pearson residual and modified standardized Pearson residual are examined through several real examples and Monte Carlo simulation study. The results of this study signify that the generalized standardized Pearson residual and the modified standardized Pearson residual perform equally good in identifying a group of outliers. |
| first_indexed | 2024-03-06T08:17:27Z |
| format | Article |
| id | upm.eprints-30400 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:17:27Z |
| publishDate | 2013 |
| publisher | Asian Network for Scientific Information |
| record_format | dspace |
| spelling | upm.eprints-304002015-10-08T04:40:52Z http://psasir.upm.edu.my/id/eprint/30400/ Modified standardized Pearson residual for the identification of outliers in logistic regression model Midi, Habshah Ariffin @ Mat Zin, Syaiba Balqish Detection of outlier based on standardized Pearson residuals has gained widespread use in logistic regression model in the presence of a single outlier. An innovation attempts in the same direction but dealing for a group of outliers have been made using generalized standardized Pearson residual which requires a graphical or a robust estimator to find suspected outliers to form a group deletion. In this study, an alternative measure namely modified standardized Pearson residual is derived from the robust logistic diagnostic. The weakness of standardized Pearson residuals and the usefulness of generalized standardized Pearson residual and modified standardized Pearson residual are examined through several real examples and Monte Carlo simulation study. The results of this study signify that the generalized standardized Pearson residual and the modified standardized Pearson residual perform equally good in identifying a group of outliers. Asian Network for Scientific Information 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30400/1/Modified%20standardized%20Pearson%20residual%20for%20the%20identification%20of%20outliers%20in%20logistic%20regression%20model.pdf Midi, Habshah and Ariffin @ Mat Zin, Syaiba Balqish (2013) Modified standardized Pearson residual for the identification of outliers in logistic regression model. Journal of Applied Sciences, 13 (6). pp. 828-836. ISSN 1812-5654; ESSN: 1812-5662 http://scialert.net/archivedetails.php?issn=1812-5654&issueno=206 10.3923/jas.2013.828.836 |
| spellingShingle | Midi, Habshah Ariffin @ Mat Zin, Syaiba Balqish Modified standardized Pearson residual for the identification of outliers in logistic regression model |
| title | Modified standardized Pearson residual for the identification of outliers in logistic regression model |
| title_full | Modified standardized Pearson residual for the identification of outliers in logistic regression model |
| title_fullStr | Modified standardized Pearson residual for the identification of outliers in logistic regression model |
| title_full_unstemmed | Modified standardized Pearson residual for the identification of outliers in logistic regression model |
| title_short | Modified standardized Pearson residual for the identification of outliers in logistic regression model |
| title_sort | modified standardized pearson residual for the identification of outliers in logistic regression model |
| url | http://psasir.upm.edu.my/id/eprint/30400/1/Modified%20standardized%20Pearson%20residual%20for%20the%20identification%20of%20outliers%20in%20logistic%20regression%20model.pdf |
| work_keys_str_mv | AT midihabshah modifiedstandardizedpearsonresidualfortheidentificationofoutliersinlogisticregressionmodel AT ariffinmatzinsyaibabalqish modifiedstandardizedpearsonresidualfortheidentificationofoutliersinlogisticregressionmodel |