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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...

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Main Authors: Ahmad, Sanizah, Midi, Habshah, Mohamed Ramli, Norazan
Format: Article
Language:English
English
Published: IDOSI Publications 2011
Online Access:http://psasir.upm.edu.my/id/eprint/25295/1/Diagnostics%20for%20residual%20outliers%20using%20deviance%20component%20in%20binary%20logistic%20regression.pdf
http://psasir.upm.edu.my/id/eprint/25295/
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spelling my.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
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
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.
format Article
author Ahmad, Sanizah
Midi, Habshah
Mohamed Ramli, Norazan
spellingShingle Ahmad, Sanizah
Midi, Habshah
Mohamed Ramli, Norazan
Diagnostics for residual outliers using deviance component in binary logistic regression.
author_facet Ahmad, Sanizah
Midi, Habshah
Mohamed Ramli, Norazan
author_sort Ahmad, Sanizah
title 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_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_sort diagnostics for residual outliers using deviance component in binary logistic regression.
publisher IDOSI Publications
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/25295/1/Diagnostics%20for%20residual%20outliers%20using%20deviance%20component%20in%20binary%20logistic%20regression.pdf
http://psasir.upm.edu.my/id/eprint/25295/
_version_ 1643828618613227520
score 13.211869

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