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Built-In Restrictions on Best Linear Unbiased Predictors (BLUP) of Random Effects in Mixed Models

Shayle R. Searle
The American Statistician
Vol. 51, No. 1 (Feb., 1997), pp. 19-21
DOI: 10.2307/2684686
Stable URL: http://www.jstor.org/stable/2684686
Page Count: 3
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Built-In Restrictions on Best Linear Unbiased Predictors (BLUP) of Random Effects in Mixed Models
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Abstract

In the usual mixed model of analysis of variance we show that certain sums of best linear unbiased predictors (BLUP) of random effects are zero. Those sums are similar to, but not exactly the same as, those of the Σ-restrictions sometimes used for fixed effects.

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