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2011
This chapter expands on linear models through the introduction of random effects, where the independent variables in the model include those variables that are fixed and those that vary across subjects. The general linear mixed effects model (LMEM) is introduced as methods for parameter estimation – maximum likelihood and restricted maximum likelihood.
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This chapter expands on linear models through the introduction of random effects, where the independent variables in the model include those variables that are fixed and those that vary across subjects. The general linear mixed effects model (LMEM) is introduced as methods for parameter estimation – maximum likelihood and restricted maximum likelihood.
openaire +1 more source
Approximate inference in generalized linear mixed models
, 1993N. Breslow, D. Clayton
semanticscholar +1 more source
Linear Mixed Models for Longitudinal Data
Technometrics, 2001A. Avilés
semanticscholar +1 more source
Organic mixed conductors for bioinspired electronics
Nature Reviews Materials, 2023Paschalis Gkoupidenis +2 more
exaly
A Unified Approach to Mixed Linear Models
, 1991R. Mclean, W. L. Sanders, W. Stroup
semanticscholar +1 more source