Abstract
In this paper we consider the linear sufficiency of \(\mathbf {F}\mathbf {y}\) for \(\mathbf {X}\varvec{\beta }\), for \(\mathbf {Z}\mathbf {u}\) and for \(\mathbf {X}\varvec{\beta }+ \mathbf {Z}\mathbf {u}\), when dealing with the linear mixed model \(\mathbf {y}= \mathbf {X}\varvec{\beta }+ \mathbf {Z}\mathbf {u}+ \mathbf {e}\). In particular, we explore the relations between these sufficiency properties. The usual definition of linear sufficiency means, for example, that the \({{\mathrm{BLUE}}}\) of \(\mathbf {X}\varvec{\beta }\) under the original model can be obtained as \(\mathbf {A}\mathbf {F}\mathbf {y}\) for some matrix \(\mathbf {A}\). Liu et al. (J Multivar Anal 99:1503–1517, 2008) introduced a slightly different definition for the linear sufficiency and we study its relation to the standard definition. We also consider the conditions under which \({{\mathrm{BLUE}}}\)s and/or \({{\mathrm{BLUP}}}\)s under one mixed model continue to be \({{\mathrm{BLUE}}}\)s and/or \({{\mathrm{BLUP}}}\)s under the other mixed model. In particular, we describe the mutual relations of the conditions. These problems were approached differently by Rong and Liu (Stat Pap 51:445–453, 2010) and we will show how their results are related to those obtained by our approach.
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Acknowledgements
Thanks go to the anonymous referees for constructive remarks. Part of this research was done during the meeting of a Research Group on Mixed and Multivariate Models in the Mathematical Research and Conference Center, Bȩdlewo, Poland, October 2016, supported by the Stefan Banach International Mathematical Center.
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Haslett, S.J., Liu, X.Q., Markiewicz, A. et al. Some properties of linear sufficiency and the BLUPs in the linear mixed model. Stat Papers 61, 385–401 (2020). https://doi.org/10.1007/s00362-017-0943-3
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DOI: https://doi.org/10.1007/s00362-017-0943-3
Keywords
- Best linear unbiased estimator
- Best linear unbiased predictor
- Linear mixed model
- Linear model
- Misspecified model