Constrained S-estimators for linear mixed effects models with covariance components.

@article{Chervoneva2011ConstrainedSF,
  title={Constrained S-estimators for linear mixed effects models with covariance components.},
  author={Inna Chervoneva and Mark Vishnyakov},
  journal={Statistics in medicine},
  year={2011},
  volume={30 14},
  pages={1735-50}
}
Linear mixed effects (LME) models are increasingly used for analyses of biological and biomedical data. When the multivariate normal assumption is not adequate for an LME model, then a robust estimation approach is preferable to the maximum likelihood one. M-estimators were considered before for robust estimation of the LME models, and recently a constrained S-estimator was proposed. This S-estimator cannot be applied directly to LME models with correlated error terms and vector random effects… CONTINUE READING