Geodesic
Variance of Plug-in Estimators in Multivariate Regression Models
Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica, Tome 52 (2013) no. 2, pp. 85-97 Cet article a éte moissonné depuis la source Czech Digital Mathematics Library

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Variance components in regression models are usually unknown. They must be estimated and it leads to a construction of plug–in estimators of the parameters of the mean value of the observation matrix. Uncertainty of the estimators of the variance components enlarge the variances of the plug–in estimators. The aim of the paper is to find this enlargement.
Variance components in regression models are usually unknown. They must be estimated and it leads to a construction of plug–in estimators of the parameters of the mean value of the observation matrix. Uncertainty of the estimators of the variance components enlarge the variances of the plug–in estimators. The aim of the paper is to find this enlargement.
Classification : 62H12, 62J05
Keywords: variance components; plug-in estimator; multivariate models 
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Kubáček, Lubomír; Vrbková, Jana. Variance of Plug-in Estimators in Multivariate Regression Models. Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica, Tome 52 (2013) no. 2, pp. 85-97. http://geodesic.mathdoc.fr/item/AUPO_2013_52_2_a7/