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Properties of the matrix V + XTX' in linear statistical models

2022, Haslett, Stephen J., Markiewicz, Augustyn, Puntanen, Simo

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Properties of BLUEs in full versus small linear models

2022, Haslett, Stephen J., Markiewicz, Augustyn, Puntanen, Simo

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Upper Bounds for the Euclidean Distances Between the BLUEs Under the Partitioned Linear Fixed Model and the Corresponding Mixed Model

2023, Haslett, Stephen J., Isotalo, Jarkko, Markiewicz, Augustyn, Puntanen, Simo, Bapat, Ravindra B., Karantha, Manjunatha Prasad, Kirkland, Stephen J., Neogy, Samir Kumar, Pati, Sukanta, Puntanen, Simo

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Permissible Covariance Structures for Simultaneous Retention of BLUEs in Small and Big Linear Models

2023, Haslett, Stephen J., Isotalo, Jarkko, Markiewicz, Augustyn, Puntanen, Simo, Bapat, Ravindra B., Karantha, Manjunatha Prasad, Kirkland, Stephen J., Neogy, Samir Kumar, Pati, Sukanta, Puntanen, Simo

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Further remarks on permissible covariance structures for simultaneous retention of BLUEs in linear models

2023, Haslett, Stephen J., Isotalo, Jarkko, Markiewicz, Augustyn, Puntanen, Simo

We consider the partitioned linear model  M12(V0) = { y, X1β1 + X2 β2, V0 } and the corresponding small model  M1(V0) = { y, X1β1 , V0 } . We define the set V1/12 of nonnegative definite matrices V such that every representation of the best linear unbiased estimator, BLUE, of μ1 = X1β1 under M12(V0) remains BLUE under M12(V) . Correspondingly, we can characterize the set V1 of matrices V such that every BLUE of μ1 = X1β1 under M1(V0) remains BLUE under M1(V). In this paper we focus on the mutual relations between the sets V1 and V1/12 .