Posterior Computation and Test The Model Using The Bayes Coefficient for Linear Mixed Model
Keywords:
Linear Mixed Model LMM, Repeated Measurements Model RMM, Random Effects, Bayesian Estimation, Posterior Density, Prior Density, Bayes Coefficient.Abstract
In this article, we depend on the linear one-way repeated measurements model which is the linear mixed model which has three fixed effects and two random effects and as well as random error. To find conclusions about the one-way repeated measurements model, a Bayesian approach constructed around Markov Chain Monte Carlo is employed. We focused on studying the posterior distribution of the parameters of the repeated measurements model, as well as a comparison between the fixed and random models using the Bayes coefficient.
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