SILM 2015 - Fourth Symposium on Statistical Inference in Linear Models

Linear models play an important role in several fields of science, either in the design of the multiple experiments, or by the analysis of data necessary to uphold the decision making. This Symposium will be devoted to new developments in estimation procedures for such models and to applications with these models.
The topics that have been selected include
estimation,
prediction and testing in linear models,
robustness of relevant statistical methods,
estimation of variance components appearing in linear models,
generalizations to nonlinear models,
design and analysis of experiments, including optimality and comparison of linear experiments.
In this Symposium, contribution in these areas, including procedures, applications, computational solutions, are welcome.