The issues of model-based clustering and classification of longitudinal data have received increasing attention in recent years. In this paper, we propose a finite mixture of multivariate t linear ...

This paper focuses on the problem of maximum likelihood estimation in linear mixed-effects models where outliers or unduly large observations are present in clustered or longitudinal data.

This section provides an overview of a likelihood-based approach to general linear mixed models. This approach simplifies and unifies many common statistical analyses, including those involving ...