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0.1 ls.mixed: Mixed effects Linear Regression Use

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Abstract

multi-level linear regression if you have covariates that are grouped according to one or more classification factors and a continuous dependent variable. While generally called multi-level models in the social sciences, this class of models is often referred to as mixed-effects models in the statistics literature and as hierarchical models in a Bayesian setting. This general class of models consists of linear models that are expressed as a function of both fixed effects, parameters corresponding to an entire population or certain repeatable levels of experimental factors, and random effects, parameters corresponding to individual experimental units drawn at random from a population

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.192.6477
Provided by: CiteSeerX
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