Geodesic
Estimation of the first order parameters in the twoepoch linear model
Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica, Tome 46 (2007) no. 1, pp. 43-50 Cet article a éte moissonné depuis la source Czech Digital Mathematics Library

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The linear regression model, where the mean value parameters are divided into stable and nonstable part in each of both epochs of measurement, is considered in this paper. Then, equivalent formulas of the best linear unbiased estimators of this parameters in both epochs using partitioned matrix inverse are derived.
The linear regression model, where the mean value parameters are divided into stable and nonstable part in each of both epochs of measurement, is considered in this paper. Then, equivalent formulas of the best linear unbiased estimators of this parameters in both epochs using partitioned matrix inverse are derived.
Classification : 62F10, 62H12, 62J05
Keywords: twoepoch regression model; best linear unbiased estimators of the first order parameters 
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Hron, Karel. Estimation of the first order parameters in the twoepoch linear model. Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica, Tome 46 (2007) no. 1, pp. 43-50. http://geodesic.mathdoc.fr/item/AUPO_2007_46_1_a4/