Linear Mixed-Effects Models: Basic Concepts and Examples

Part of the Statistics and Computing book series


Many common statistical models can be expressed as linear models that incorporate both fixed effects, which are parameters associated with an entire population or with certain repeatable levels of experimental factors, and random effects, which are associated with individual experimental units drawn at random from a population. A model with both fixed effects and random effects is called a mixed-effects model.


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