A fixed effect represents an unknown nonrandom coefficient in the specified mean model. In a Gaussian linear mixed model, is the population mean, while random effects are latent draws from a distribution whose parameters are estimated. Treating a group coefficient as fixed or random concerns the modelling and inferential target, not whether its estimate changes across samples.
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