Heterogeneous variances in Gaussian linear mixed models

Abstract

This paper reviews some problems encountered in estimating heterogeneous variances in Gaussian linear mixed models. The one-way and multiple classification cases are considered. EM-REML algorithms and Bayesian procedures are derived. A structural mixed linear model on log-variance components is also presented, which allows identification of meaningful… (More)
DOI: 10.1186/1297-9686-27-3-211

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