Search    
IP Address: 38.103.63.*      
Login
Individual Subscriber Registration
Login Forgot Password?
 
Author Login
Author Registration
Login Forgot Password?

  Far East Journal of Theoretical Statistics  
 ISSN: 0972-0863
 
 
 

     Far East Journal of Theoretical Statistics
    Volume 25, Issue 2, Pages 201 - 208 (July 2008)


A NEW INSIGHT INTO THE PROBLEM OF BEST LINEAR UNBIASED PREDICTION IN LINEAR MODELS

Jian-Ying Rong (P. R. China) and Xu-Qing Liu (P. R. China)

Received December 23, 2007

References:



[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).

Keywords and phrases: linear model, mixed linear model, best linear unbiased prediction (BLUP), compound symmetric.

 


Previous Article    Next Article

 
         

© Copy Right  PUSHPA PUBLISHING HOUSE, Vijaya Niwas, 198, Mumfordganj, Allahabad-211002, India