References
- Baye, M. R., Parker, D. F. (1985). Combing ridge and principal component regression: A money demand illustration. Commun. Statist.-Theor. Meth. 13(2):197–205.
- Hoerl, A. E., Kennard, R.W. (1970). Ridge regression: Biased estimation for non-orthogonal problem. Technometrics 12:55–67.
- Jimichi, M., Inagaki, N. (1996). R-k class estimator in regression model with concomitant variables. Ann. Instit. Statist. Math. 1:89–95.
- Kendall, M. G. (1957). A Course in Multivariate Analysis. London: Griffin.
- Kadyiala, K. (1986). Mixed regression estimator under misspecification. Economic Lett., 21:27–30.
- Liu, K. (1993). A new class of biased estimate in linear regression. Commun. Statist. Theor. Meth. 22:393–402.
- Massy, W. F. (1965). Principal components regression in exploratory statistical research. J. Amer. Statist. Assoc. 60:234–266.
- Mahalanobis, P. C. (1936). On the generalized distance in the statistics. Proc. Nat. Instit. Sci. India. 12:49–55.
- Madhulike, D. (1999). Mixed regression estimator under inclusion of superfluous variables. Test 8(2):411–417.
- Peddada, S. D., Nigam, A. K., Saxena, A. K. (1989). On the inadmissibility of ridge estimator in a linear model. Commun. Statist. Theor. Meth. 18(10):3571–3585.
- Siray, G. U., Sakallioglu, S. (2012). Superiority of the r-k class estimator over some estimator in a linear model. Commun. Statist. Theor. Meth. 41(15):2819–2832.
- Sarkar, N. (1989). Comparisons among some estimators in misspecified linear models with multicollinearity. Ann. Instit. Statist. Math. 4: 717–724.
- Toker, S., Kaciranlar, S. (2013). On the performance of two parameter ridge estimator under the mean square error criterion. Appl. Math. Computat. 219:4718–4728.
- Xu, J. W., Yang, H. (2012). On the stochastic restricted Liu estimator under misspecification due to inclusion of superfluous variables. Chin. J. Appl. Probab. Statist., 28:123–133.
- Yang, H., Chang, X. F. (2012). A new two-parameter estimator in linear regression. Commun. Statist. Theor. Meth. 39(6):923–934.