Linear models form the foundation of a vast range of statistical methodologies. This volume surveys the techniques that grow from the regression model, presenting three extensions to that framework: generalized linear models, mixed effect models, and nonparametric regression models. It provides a well-stocked toolbox of methodologies, and with its unique presentation of these very modern statistical techniques, holds the potential to break new ground in the way graduate-level courses in this area are taught.