Abstract
Models with mixed effects contain both fixed and random effects. Fixed effects are what we have been considering up to now; the only source of randomness in our models arises from regarding the cases as independent random samples. Thus in regression we have an additive measurement error that we assume is independent between cases, and in a GLM we observe independent binomial, Poisson, gamma ... random variates whose mean is a deterministic function of the explanatory variables.
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© 2002 Springer Science+Business Media New York
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Venables, W.N., Ripley, B.D. (2002). Random and Mixed Effects. In: Modern Applied Statistics with S. Statistics and Computing. Springer, New York, NY. https://doi.org/10.1007/978-0-387-21706-2_10
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DOI: https://doi.org/10.1007/978-0-387-21706-2_10
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-3008-8
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