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Outlier Detection by Regression Diagnostics Based on Robust Parameter Estimates FULL TEXT

Year 2012, Volume: 41 Issue: 1, 147 - 155, 01.01.2012

References

  • Andrews, D. F. and Pregibon, D. Finding the outliers that matter, J. Roy. Statist. Soc. Ser. B 40, 85–93, 1978.
  • Atkinson, A. C. Two graphical displays for outlying and influential observations in regres- sion, Biometrika 68, 13–20, 1981.
  • Beckman, R. J. and Cook, R. D. Outlier. . . s, Technometrics 25 (2), 119–149, 1983.
  • Belsley, D. A., Kuh, E. and Welsch, R. E. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity(Wiley, New York, 1980).
  • Cetin, M. Robust model selection criteria for robust Liu estimator, European Journal of Operational Research 199, 21–24, 2009.
  • Chatterjee, S.and Hadi, A. S. Sensitivity Analysis in Linear Regression (Wiley Series in Probability and Mathematical Statistics, Wiley, New York, 1988).
  • Chen, C. Robust regression and outlier detection with the ROBUSTREG procedure (Pro- ceedings of the Twenty-Seventh Annual SAS Users Group International Conference, Cary, NC: SAS Institute Inc, 2002).
  • Cook, R. D. Detection of influential observations in linear regression, Technometrics 19, 15–18, 1977. [9] Cook, R. D. and Weisberg, S. Residuals and Influence in Regression (Chapman & Hall, New York, 1982). [10] Hadi, A.S. A new measure of overall potential influence in linear regression, Computational Statistics and Data Analysis 14, 1–27, 1992.
  • Hoaglin, D. C, and Welsch, R. E. The Hat matrix in regression and ANOVA, The Amer. Statist. 32, 17–22, 1978.
  • Huber, P. J. Robust Statistics (John Wiley & Sons, New York, 1981).
  • Nurunnabi, A. A. M. and Nasser, M. Outlier detection by regression diagnostics in large data (International Conference on Future Computer and Communication, 2009), 246-250.
  • Rawlings, J. O., Pantula, S. G. and Dickey, D. A. Applied Regression Analysis: A Research Tool(Springer, New York, 1998).
  • Riazoshams, A. H., Habshah, B. and Adam, C. M. B. On the outlier detection in nonlinear regression, Engineering and Technology 60, 264–270, 2009.
  • Ullah, M. A. and Pasha, G. R. The origin and developments of influence measures in re- gression, Pakistan Journal of Statistics 25 (3), 295–307, 2009.
  • Welsch, R. E. and Kuh, E. Linear Regression Diagnostics (Technical report 923-77, Solan School of Management, Massachusetts Institute of Technology, 1977).

Outlier Detection by Regression Diagnostics Based on Robust Parameter Estimates FULL TEXT

Year 2012, Volume: 41 Issue: 1, 147 - 155, 01.01.2012

References

  • Andrews, D. F. and Pregibon, D. Finding the outliers that matter, J. Roy. Statist. Soc. Ser. B 40, 85–93, 1978.
  • Atkinson, A. C. Two graphical displays for outlying and influential observations in regres- sion, Biometrika 68, 13–20, 1981.
  • Beckman, R. J. and Cook, R. D. Outlier. . . s, Technometrics 25 (2), 119–149, 1983.
  • Belsley, D. A., Kuh, E. and Welsch, R. E. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity(Wiley, New York, 1980).
  • Cetin, M. Robust model selection criteria for robust Liu estimator, European Journal of Operational Research 199, 21–24, 2009.
  • Chatterjee, S.and Hadi, A. S. Sensitivity Analysis in Linear Regression (Wiley Series in Probability and Mathematical Statistics, Wiley, New York, 1988).
  • Chen, C. Robust regression and outlier detection with the ROBUSTREG procedure (Pro- ceedings of the Twenty-Seventh Annual SAS Users Group International Conference, Cary, NC: SAS Institute Inc, 2002).
  • Cook, R. D. Detection of influential observations in linear regression, Technometrics 19, 15–18, 1977. [9] Cook, R. D. and Weisberg, S. Residuals and Influence in Regression (Chapman & Hall, New York, 1982). [10] Hadi, A.S. A new measure of overall potential influence in linear regression, Computational Statistics and Data Analysis 14, 1–27, 1992.
  • Hoaglin, D. C, and Welsch, R. E. The Hat matrix in regression and ANOVA, The Amer. Statist. 32, 17–22, 1978.
  • Huber, P. J. Robust Statistics (John Wiley & Sons, New York, 1981).
  • Nurunnabi, A. A. M. and Nasser, M. Outlier detection by regression diagnostics in large data (International Conference on Future Computer and Communication, 2009), 246-250.
  • Rawlings, J. O., Pantula, S. G. and Dickey, D. A. Applied Regression Analysis: A Research Tool(Springer, New York, 1998).
  • Riazoshams, A. H., Habshah, B. and Adam, C. M. B. On the outlier detection in nonlinear regression, Engineering and Technology 60, 264–270, 2009.
  • Ullah, M. A. and Pasha, G. R. The origin and developments of influence measures in re- gression, Pakistan Journal of Statistics 25 (3), 295–307, 2009.
  • Welsch, R. E. and Kuh, E. Linear Regression Diagnostics (Technical report 923-77, Solan School of Management, Massachusetts Institute of Technology, 1977).
There are 15 citations in total.

Details

Primary Language Turkish
Journal Section Mathematics
Authors

Semra Türkan This is me

Meral C. Çetin This is me

Öniz Toktamış This is me

Publication Date January 1, 2012
Published in Issue Year 2012 Volume: 41 Issue: 1

Cite

APA Türkan, S., Çetin, M. C., & Toktamış, Ö. (2012). Outlier Detection by Regression Diagnostics Based on Robust Parameter Estimates FULL TEXT. Hacettepe Journal of Mathematics and Statistics, 41(1), 147-155.
AMA Türkan S, Çetin MC, Toktamış Ö. Outlier Detection by Regression Diagnostics Based on Robust Parameter Estimates FULL TEXT. Hacettepe Journal of Mathematics and Statistics. January 2012;41(1):147-155.
Chicago Türkan, Semra, Meral C. Çetin, and Öniz Toktamış. “Outlier Detection by Regression Diagnostics Based on Robust Parameter Estimates FULL TEXT”. Hacettepe Journal of Mathematics and Statistics 41, no. 1 (January 2012): 147-55.
EndNote Türkan S, Çetin MC, Toktamış Ö (January 1, 2012) Outlier Detection by Regression Diagnostics Based on Robust Parameter Estimates FULL TEXT. Hacettepe Journal of Mathematics and Statistics 41 1 147–155.
IEEE S. Türkan, M. C. Çetin, and Ö. Toktamış, “Outlier Detection by Regression Diagnostics Based on Robust Parameter Estimates FULL TEXT”, Hacettepe Journal of Mathematics and Statistics, vol. 41, no. 1, pp. 147–155, 2012.
ISNAD Türkan, Semra et al. “Outlier Detection by Regression Diagnostics Based on Robust Parameter Estimates FULL TEXT”. Hacettepe Journal of Mathematics and Statistics 41/1 (January 2012), 147-155.
JAMA Türkan S, Çetin MC, Toktamış Ö. Outlier Detection by Regression Diagnostics Based on Robust Parameter Estimates FULL TEXT. Hacettepe Journal of Mathematics and Statistics. 2012;41:147–155.
MLA Türkan, Semra et al. “Outlier Detection by Regression Diagnostics Based on Robust Parameter Estimates FULL TEXT”. Hacettepe Journal of Mathematics and Statistics, vol. 41, no. 1, 2012, pp. 147-55.
Vancouver Türkan S, Çetin MC, Toktamış Ö. Outlier Detection by Regression Diagnostics Based on Robust Parameter Estimates FULL TEXT. Hacettepe Journal of Mathematics and Statistics. 2012;41(1):147-55.