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12-23

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- Department of Mathematical Sciences, Faculty of Applied Sciences, South Eastern University of Sri Lanka, Sri Lanka

References

- [1] Alkhamisi, M., Khalaf, G. and Shukur, G. (2006). Some modifications for choosing ridge parameters. Communications in Statistics - Theory and Methods, 35(11), 2005-2020.
- [2] El-Dereny, M., Rashwan, N. I. (2011). Solving multicollinearity problem using ridge regression models, Int. J. Contemp. Math. Sci. 6, No. 9-12, 585-600.
- [3] Gibbons, D. G. (1981). A simulation study of some ridge estimators. Journal of the American Statistical Association, 76, 131-139.
- [4] Gujarati, D. N. (2004). Basic Econometrics, 4th edition, Tata McGraw-Hill, New Delhi.
- [5] Hocking, R. R., Speed, F. M. and Lynn, M. J. (1976). A class of biased estimators in linear regression. Technometrics, 18, 425-438.
- [6] Hoerl, A. E., Kennard, R. W. and Baldwin, K. F. (1975). Ridge regression: some simulation. Communications in Statistics, 4, 105-123.
- [7] Hoerl, A. E. and Kennard, R. W. (1970). Ridge Regression: Biased Estimation for Non-orthogonal Problems Regression Analysis and Biased Estimation. Technometrics, pp. 55-67.
- [8] Kennedy, P. (2003). A Guide to Econometrics, 5th edition, The MIT Press, Cambridge.
- [9] Khalaf, G. and Shukur, G. (2005). Choosing ridge parameters for regression problems. Communications in Statistics - Theory and Methods, 34, 1177-1182.
- [10] Kibria, B. M. G. (2003). Performance of some new ridge regression estimators. Communications in Statistics-Simulation and Computation, 32, 419-435.
- [11] McDonald, G. and Galarneau,D., (1975). A Monte Carlo evaluation of some ridge type estimators. Journal of the American Statistics Association, 70 (1975), 407-416.
- [12] Montgomery, D. C., Peck, E. A., Vining, G. G. (2001). Introduction to linear regression analysis, 3rd edition, Wiley, New York.
- [13] Muniz, G. and Kibria, B. M. G. (2009). On some ridge regression estimators: An empirical comparison. Communications in Statistics - Simulation and Computation, 38, 621-630.

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bwmeta1.element.psjd-d16c6b94-c663-4e71-8cd3-0e648237da42