Geodesic
UNIFORMLY BEST LINEAR-QUADRATIC ESTIMATOR IN A SPECIAL STRUCTURE OF THE REGRESSION MODEL
Acta mathematica Universitatis Comenianae, Tome 61 (1992) no. 2 
G. Wimmer. UNIFORMLY BEST LINEAR-QUADRATIC ESTIMATOR IN A SPECIAL STRUCTURE OF THE REGRESSION MODEL. Acta mathematica Universitatis Comenianae, Tome 61 (1992) no. 2. http://geodesic.mathdoc.fr/item/AMUC_1992_61_2_a10/
@article{AMUC_1992_61_2_a10,
     author = {G. Wimmer},
     title = {UNIFORMLY {BEST} {LINEAR-QUADRATIC} {ESTIMATOR} {IN} {A} {SPECIAL} {STRUCTURE} {OF} {THE} {REGRESSION} {MODEL}},
     journal = {Acta mathematica Universitatis Comenianae},
     year = {1992},
     volume = {61},
     number = {2},
     url = {http://geodesic.mathdoc.fr/item/AMUC_1992_61_2_a10/}
}
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Voir la notice de l'article provenant de la source Comenius University

The paper shows the uniformly best linear-quadratic unbiased estimator of the covariance matrix element related to the repeated measurement in a regression model where dispersions depend quadratically on mean value parameters. Its consistency with respect to increasing number of repeated measurements is also investigated.