[1] Anderson, T.W, An introduction to multivariate statistical analysis, 3rded., John Wiley and Sons, New York, 2003.
[2] Bancroft, T.A., On biases in estimation due to the use of preliminary test of significance, Annals of Math. Stat. 15 (1944), 195-204.
[3] Johnson, N.L. and Kotz, S., Continuous univariate distributions-2, John Wiley, New York, 1970.
[4] Judge, W. and Bock , M.E., The statistical implication of pre-test and Stein-rule estimators in Econometrics, North-Holland, New York, 1978.
[5] Khan, Sh., Improwed estimation of the mean vector for student-t model, Commun. Statist.-Theory Meth. 29(3)(2000), 507-527.
[6] Khan, S., Estimation of parameters of the simple multivariate linear model with Student-t errors, J Statist. Res. 39(2)(2005), 79-94.
[7] Kuan, Ch.M., Statistics: Concepts and Methods, 2nd edition, Hua-Tai, Taipei, 2004.
[8] Ravishanker, N. and Dey, D.K., A first course in linear model theory, Chap-man and Hall/CRC, 2002.
[9] Saleh, A.K.Md.E. and Han, CP., Shrinkage estimation in regression analysis, Estadistica, Vol. 42(1990), 40-63.
[10] Saleh, A.K.Md.E., Theory of Preliminary Test and Stein-type Estimation with Applications, John Wiley, New York, 2006.
[11] Searle, S.R., Matrix Algebra Useful for Statistics, John Wiley, New York, 1982.
[12] Srivastava, M.S. and Sa;eh, A.K.Md.E., Estimation of the mean vactor of a multivariate normal distribution: subspace hypothesis, J. Multivariate Anal-ysis 96(2005), 55-72.
[13] Tabatabaey, S.M.M., Preliminary test approach estimation: regression model with spherically symmetric errors, Ph.D. Thesis, Carleton University, Canada, 1995.
