Best linear unbiased prediction for linear combinations in general mixed linear models

Author:

Liu Xu-Qing,Rong Jian-Ying,Liu Xiu-Ying

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference25 articles.

1. J.K. Baksalary, H.G. Drygas, A note on the concepts of sufficiency in the general Gauss–Markov model—a coordinatefree approach, Mathematische Schriften Kassel, Vordruck-Reihe des Fachbereichs 17 der Gesamthochschule Kassel, Preprint no. 92/2, 1992

2. Linear transformations preserving the best linear unbiased estimator in general Gauss–Markoff model;Baksalary;Ann. Statist.,1981

3. Linear sufficiency and completeness in an incorrectly specified general Gauss–Markov model;Baksalary;Sankhya A,1986

4. An error-components model for prediction of county crop area using survey and satellite data;Battese;J. Amer. Statist. Assoc.,1988

5. The linear zero functions approach to linear models;Bhimasankaram;Sankhyā, Ser. B,1996

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