Research into Multiple Outliers in Linear Regression Analysis

Year 2009, Volume: 38 Issue: 2, 185 - 198, 01.02.2009

Baris Asikgil Aydin Erar

https://izlik.org/JA53RJ66DE

Keywords

-

References

• Asikgil, B. The Examination of Outliers and Influential Observations in Multiple Linear Regression Analysis and an Application(Msc. Thesis, Mimar Sinan University, Istanbul, 2006). [2] Atkinson, A. C. Fast very robust methods for the detection of multiple outliers, Journal of the American Statistical Association 89, 1329–1339, 1994.
• Atkinson, A. C. and Riani, M. Robust Diagnostic Regression Analysis (Springer, New York, 2000). [4] Barnett, V. and Lewis, T. Outliers In Statistical Data (Third Edition, John Wiley&Sons Ltd., Chichester, 1994).
• Bi, J. and Bennett, K. P. Regression Error Characteristic Curves (Proceedings of the Twen- tieth International Conference on Machine Learning (ICML), Washington, 2003).
• Candan, M. Robust Estimators in Linear Regression Analysis (Msc. Thesis, Hacettepe Uni- versity, Ankara, 1995).
• Chatterjee, S. and Hadi, A. S. Influential observations, high leverage points and outliers in linear regression, Statistical Science 1, 379–416, 1986.
• Hadi, A. S. and Simonoff, J. S. Procedures for the identification of multiple outliers in linear models, Journal of the American Statistical Association 88, 1264–1272, 1993.
• Lawrence, D. K. and Arthur, J. L. Robust Regression; Analysis and Applications (Marcel Dekker, Inc., New York and Basel, 1990).
• Neter, J., Kutner, M. H., Nachtsheim, C. J. and Wasserman, W. Applied Linear Statistical Models(Fourth Edition, The McGraw-Hill Companies Inc., 1996).
• Rousseeuw, P. J. and Leroy, A. M. Robust Regression and Outlier Detection (John Wi- ley&Sons Inc., 2003).
• Tatlidil, H. Test of Suspicious Observations in Linear Regression Analysis and Multivariate Data(PhD. Thesis, Hacettepe University, Ankara, 1981).