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.
Inhaltsverzeichnis
1 An Appetizer, 2 Statistical Models, 3 Data for Models, 4 Linear Models, 5 Analysis of Variance; Designed Experiments, 6 Generalized Linear Models, 7 Generalized Additive Models, 8 Local Regression Models, 9 Tree-Based Models, 10 Nonlinear Models, A Classes and Methods: Object-oriented Programming in S, B S Functions and Classes, References, Index
