https://orcid.org/0000-0002-4485-4759
References
- Anderson-Sprecher, R. 1994. Model comparisons and R2. The American Statistician 48 (2):113–17.
- Brownlee, K. A. 1965. Statistical theory and methodology in science and engineering (Vol. 150). New York: Wiley.
- Croux, C., and C. Dehon. 2003. Estimators of the multiple correlation coefficient: Local robustness and confidence intervals. Statistical Papers 44 (3):315–34. doi:10.1007/s00362-003-0158-7.
- Efron, B., T. Hastie, I. Johnstone, and R. Tibshirani. 2004. Least angle regression. Annals of Statistics 32 (2):407–99.
- Hampel, F. R., E. M. Ronchetti, P. J. Rousseeuw, and W. A. Stahel. 2011. Robust statistics: The approach based on influence functions (Vol. 196). New York: John Wiley & Sons.
- Hampel, F. R. 1968. Contribution to theory of robust estimation. Ph.D. thesis., University of California.
- Hocking, R. R., and R. Leslie. 1967. Selection of the best subset in regression analysis. Technometrics 9 (4):531–40. doi:10.1080/00401706.1967.10490502.
- Huber, P. J. 1992. Robust estimation of a location parameter. In Breakthroughs in statistics ( 492–518). New York: Springer.
- Machado, J. A. 1993. Robust model selection and M-estimation. Econometric Theory 9 (3):478–93. doi:10.1017/S0266466600007775.
- Mallows, C. 1973. Some comments on Cp. Technometrics 15 (4):661–75.
- Maronna, R., R. D. Martin, V. Yohai, and M. Salibián-Barrera. 2006. Robust statistics: Theory and practice. New York: Wiley.
- Miller, A. J. 1984. Selection of subsets of regression variables. Journal of the Royal Statistical Society: Series A (General) 147 (3):389–410. doi:10.2307/2981576.
- Mu, W., and S. Xiong. 2015. Robust sparse regression with high-breakdown value. Communications in Statistics – Theory and Methods 44 (5):1033–43. doi:10.1080/03610926.2012.750357.
- Ronchetti, E. 1997. Robustness aspects of model choice. Statistica Sinica 7 (2):327–38.
- Ronchetti, E., and R. G. Staudte. 1994. A robust version of mallows’s Cp. Journal of the American Statistical Association 89 (426):550–59.
- Rousseeuw, P. J. 1984. Least median of squares regression. Journal of the American Statistical Association 79 (388):871–80. doi:10.1080/01621459.1984.10477105.
- Rousseeuw, P., and V. Yohai. 1984. Robust regression by means of S-estimators. In Robust and nonlinear time series analysis, 256–72. Berlin/New York: Springer.
- Saleh, S. 2014. Robust AIC with high breakdown scale estimate. Journal of Applied Mathematics 2014:1–7. doi:10.1155/2014/286414.
- Saleh, S.,. N. A. Hamzah, and R. M. Yunus. 2014. A robust version of Schwarz information criterion based on LTS. In AIP Conference Proceedings, Penang, Malaysia (Vol. 1605, pp. 967–72).
- Tibshirani, R. 1996. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society: Series B (Methodological) 58 (1):267–88.
- Yohai, V. J. 1987. High breakdown-point and high efficiency robust estimates for regression. The Annals of Statistics 15 (2):642–56. doi:10.1214/aos/1176350366.