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Empirical BLUE and BLUP

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Abstract

Recall from Sect. 13.5 that E-BLUP, the conventional procedure for predicting a predictable linear function τ = c Tβ + u under the prediction-extended general mixed linear model

$$\displaystyle \left \{\left (\begin {array}{c}\mathbf {y} \\ u\end {array}\right ),\left (\begin {array}{c}\mathbf { X}\boldsymbol {\beta } \\ 0 \end {array}\right ),\left (\begin {array}{cc}{\mathbf {V}}_{yy}(\boldsymbol {\theta }) & {\mathbf {v}}_{yu}(\boldsymbol {\theta }) \\ {\mathbf {v}}_{yu}(\boldsymbol {\theta })^T & \mathbf { v}_{uu}(\boldsymbol {\theta }) \end {array}\right )\right \}, $$

is to first obtain an estimate \(\hat {\boldsymbol {\theta }}\) of θ and then proceed as though this estimate was the true θ.

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Zimmerman, D.L. (2020). Empirical BLUE and BLUP. In: Linear Model Theory. Springer, Cham. https://doi.org/10.1007/978-3-030-52063-2_17

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