Inference for the Marginal Model

Abstract

In practice, the fitting of a model is rarely the ultimate goal of a statistical analysis. Usually, one is primarily interested in drawing inferences on the parameters in a model, in order to generalize results obtained from a specific sample to the general population from which the sample was taken. In Section 6.2, inference for the parameter vector gb in the mean structure of model (5.1) is discussed. Afterward, in Section 6.3, inference with respect to the variance components α will be handled.