The results of analyzing experimental data using a parametric approach may heavily depend on the chosen model. With this paper we describe computational tools in Splus for a simultaneous selection of parametric regression and variance models from a relatively rich model class and of Box-Cox...

It is well known that most of the standard specification tests are not valid when the alternative hypothesis is misspecified. This is particularly true in the error component model when one tests for either random effects or serial correlation without taking account of the presence of the other...