Estimating the dimension of a linear model

Jiří Anděl; Manuel Garrido Perez; Antonio Insua Negrao

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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.