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Sarkar, S.K., Midi, Habshah, Rana, Sohel (2011) Detection of Outliers and Influential Observations in Binary Logistic Regression: An Empirical Study. Journal of Applied Sciences, 11. 26-35 doi:10.3923/jas.2011.26.35

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Reference TypeJournal (article/letter/editorial)
TitleDetection of Outliers and Influential Observations in Binary Logistic Regression: An Empirical Study
JournalJournal of Applied Sciences
AuthorsSarkar, S.K.Author
Midi, HabshahAuthor
Rana, SohelAuthor
Year2011 (January 1)Volume11
PublisherScience Alert
DOIdoi:10.3923/jas.2011.26.35Search in ResearchGate
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Mindat Ref. ID10341714Long-form Identifiermindat:1:5:10341714:3
GUID0
Full ReferenceSarkar, S.K., Midi, Habshah, Rana, Sohel (2011) Detection of Outliers and Influential Observations in Binary Logistic Regression: An Empirical Study. Journal of Applied Sciences, 11. 26-35 doi:10.3923/jas.2011.26.35
Plain TextSarkar, S.K., Midi, Habshah, Rana, Sohel (2011) Detection of Outliers and Influential Observations in Binary Logistic Regression: An Empirical Study. Journal of Applied Sciences, 11. 26-35 doi:10.3923/jas.2011.26.35
In(n.d.) Journal of Applied Sciences Vol. 11. Science Alert

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Sarkar, S.K., Midi, Habshah (2010) Importance of Assessing the Model Adequacy of Binary Logistic Regression. Journal of Applied Sciences, 10. 479-486 doi:10.3923/jas.2010.479.486
Ariffin, Syaiba Balqish, Midi, Habshah (2013) Modified Standardized Pearson Residual for the Identification of Outliers in Logistic Regression Model. Journal of Applied Sciences, 13. 828-836 doi:10.3923/jas.2013.828.836
Bagheri, A., Midi, Habshah, Imon, A.H.M.R. (2010) The Effect of Collinearity-influential Observations on Collinear Data Set: A Monte Carlo Simulation Study. Journal of Applied Sciences, 10. 2086-2093 doi:10.3923/jas.2010.2086.2093
Dhhan, Waleed, Rana, Sohel, Midi, Habshah (2015) Non-sparseϵ-insensitive support vector regression for outlier detection. Journal of Applied Statistics, 42 (8). 1723-1739 doi:10.1080/02664763.2015.1005064
Syaiba, B.A., Habshah, M. (2010) Robust Logistic Diagnostic for the Identification of High Leverage Points in Logistic Regression Model. Journal of Applied Sciences, 10. 3042-3050 doi:10.3923/jas.2010.3042.3050
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Mohammed Rashid, Abdullah, Midi, Habshah, Dhhan, Waleed, Arasan, Jayanthi (2022) Detection of outliers in high-dimensional data using nu-support vector regression. Journal of Applied Statistics, 49 (10) 2550-2569 doi:10.1080/02664763.2021.1911965
Rana, S., Midi, H., Imon, A.H.M.R. (2009) Estimation of Parameters in Heteroscedastic Multiple Regression Model using Leverage Based Near-Neighbors. Journal of Applied Sciences, 9. 4013-4019 doi:10.3923/jas.2009.4013.4019
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Balasooriya, U., Tse, Y. K., Liew, Y. S. (1987) An empirical comparison of some statistics for identifying outliers and influential observations in linear regression models. Journal of Applied Statistics, 14 (2). 177-184 doi:10.1080/02664768700000022
 
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