Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics research department at AT&T Bell Laboratories-represent results of research in both the computational and statistical aspects of modeling data.

chapter 1|12 pages

An Appetizer

chapter 2|32 pages

Statistical Models

chapter 3|50 pages

Data for Models

chapter 4|50 pages

Linear Models

chapter 7|59 pages

Generalized Additive Models

chapter 9|43 pages

Tree-Based Models

chapter 10|34 pages

Nonlinear Models