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Mathematical Statistics
[chapter]
2013
Mathematical Statistics and Stochastic Processes
A general linear model has a response variable and a number of possible explaining variables. The explaining variables can either be fixed effects that can be estimated or random effects that come from a distribution. Often a study include both fixed and random effects and the model fitted is then called a linear mixed model. When an effect is included as random the measurements within the same effect can not be considered independent and the correlation between measurements has to be
doi:10.1002/9781118562024.part1
fatcat:64ujgklhebfs5mzeo5z7jmntgm