___

• Akdeniz, F. and Erol, H. Mean squared error matrix comparisons of some biased estimators in linear regression, Communications in Statistics - Theory and Methods 32, 2389–2413, 2003.
• Akdeniz, F. and Ka¸cıranlar, S. On the almost unbiased generalized Liu estimator and un- bised estimation of the bias and MSE, Commun. Statist - Theory and Meth. 24 (7), 1789– 1797, 1995. [3] Farebrother, R. W. A class of shrinkage estimators, J. R. Statist. Soc. B 40, 47–49, 1978. [4] Ka¸cıranlar, S., Sakallıo˘glu, S., Akdeniz, F., Styan, G. P. H. and Werner, H. J. A new biased estimator in linear regression and a detailed analysis of the widely-analyzed dataset on Portland Cement, Sankhya: The Indian Journal of Statistics Series B 61, 443–459, 1999.
• Kejian, L. A new class of biased estimates in linear r, Regression. Com. Statist. - Theory Meth. 22 (2), 393–402, 1993.
• Liski, E. P. A test of the mean square error criterion for shrinkage estimators, Communi- cations in Statistics 11 (5), 543–562, 1982.
• Liski, E. P. Choosing a shrinkage estimator - a test of the mean square error criterion, Proc. First Tampere Sem. Linear Models, 245–262, 1983.
• Norman, L. J. and Samuel, K. Distributions in Statistics (Chapter 26), 1970.
• Patnaik, P. B. (1949), The non-central Ki-kare and F Distributions and their applications, Biometrika 36, 202–232, 1949.
• Rao, C. R. Estimation of parameters in a linear model, The Annals of Statistics 4, 1023– 1037, 1976. [11] Sakallıo˘glu, S., Ka¸cıranlar, S. and Akdeniz, F. Bazı Yanlı Regresyon Tahmin Edicilerinin Kar¸sıla¸stırılması., Ara¸stırma Sempozyumu’97 Bildirileri, D˙IE., Ankara, 1997.
• Searle S. R. Matrix Algebra useful for Statistic (John Wiley and Sons., New York, 1982).
• Theobald, C. M. Generalizations of mean square error applied to Ridge regression, J. R. Statist. Soc. B 36,103–106, 1974.
• Toutenburg, H. Prior Information in Linear Models (John Wiley and Sons, New York, 1982).