Estimation in nonlinear mixed-effects models using heavy-tailed distributions

@article{Meza2012EstimationIN,
  title={Estimation in nonlinear mixed-effects models using heavy-tailed distributions},
  author={Cristian Meza and Felipe Osorio and Rolando De la Cruz},
  journal={Statistics and Computing},
  year={2012},
  volume={22},
  pages={121-139}
}
Nonlinear mixed–effects models are very useful to analyze repeated measures data and are used in a variety of applications. Normal distributions for random effects and residual errors are usually assumed, but such assumptions make inferences vulnerable to the presence of outliers. In this work, we introduce an extension of a normal nonlinear mixed–effects model considering a subclass of elliptical contoured distributions for both random effects and residual errors. This elliptical subclass, the… CONTINUE READING
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