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Published in:
2011 | OriginalPaper | Chapter
Mixed Models and Variance Components
Author : Ronald Christensen
Published in: Plane Answers to Complex Questions
Publisher: Springer New York
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Traditionally, linear models have been divided into three categories:
fixed effects models
,
random effects models
, and
mixed models
. The categorization depends on whether the
$$ \beta\, $$
vector in
$${\rm Y}={\rm X}\beta + e \,$$
is fixed, random, or has both fixed and random elements. Random effects models always assume that there is a fixed overall mean for observations, so random effects models are actually mixed.