Abstract
The simplest form of the linear mixed model is the random-effects model, which represents data using the regression equation:
$\displaystyle{ \mathbf{y}_{i} =\boldsymbol{\alpha } +\mathbf{b}_{i} +\boldsymbol{\epsilon } _{i} (1 \leq i \leq m), }
where \(\boldsymbol{\alpha }\), y i , b i , and \(\boldsymbol{\epsilon }_{i}\) are column matrices for which the lengths are n i and can be expressed in the form:...
Paper Details
Title
Linear Mixed Model
Published Date
Jan 1, 2014
Pages
269 - 294
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