|
[1] K. Das, J. Jiang and J. N. K. Rao, Mean squared error of empirical predictor, Ann. Statist. 32 (2004), 818-840.
[2] D. A. Harville, Extension of the Gauss-Markov theorem to include the estimation of random effects, Ann. Statist. 4 (1976), 384-395.
[3] D. A. Harville and D. R. Jeske, Mean squared error of estimation or prediction under a general linear model, J. Amer. Statist. Assoc. 87 (1992), 724-731.
[4] C. R. Henderson, Best linear unbiased estimation and prediction under a selection model, Biometrics 31 (1975), 423-447.
[5] N. G. N. Prasad and J. N. K. Rao, The estimation of the mean square error of small-area estimators, J. Amer. Statist. Assoc. 85 (1990) 163-171.
[6] C. R. Rao and H. Toutenburg, Linear Models: Least Squares and Alternatives, Springer-Verlag, New York, 1995.
[7] G. K. Robinson, That BLUP is a good thing: the estimation of random effects, Statist. Sci. 6 (1991), 15-51.
[8] S. Wang, Theory of Linear Models and its Applications, Anhui Education Press, China, 1987 (in Chinese). |