Generalized Additive Models

An Introduction with R, Second Edition
2. Auflage 2017
ISBN: 978-1-4987-2833-1
Verlag: Chapman and Hall/CRC

Buch, Englisch, 496 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 907 g

Reihe: Chapman & Hall/CRC Texts in Statistical Science

The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, providing the necessary background in linear models, linear mixed models, and generalized linear models (GLMs), before presenting a balanced treatment of the theory and applications of GAMs and related models.

The author bases his approach on a framework of penalized regression splines, and while firmly focused on the practical aspects of GAMs, discussions include fairly full explanations of the theory underlying the methods. Use of R software helps explain the theory and illustrates the practical application of the methodology. Each chapter contains an extensive set of exercises, with solutions in an appendix or in the book’s R data package gamair, to enable use as a course text or for self-study.

Zielgruppe

Undergraduate Core

Autoren/Hrsg.

Wood, Simon N.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

Preface

Linear Models

Linear Mixed Models

Generalized Linear Models

Introducing GAMs

Smoothers

GAM theory

GAMs in Practice: mgcv

Appendices A,B,C

Über Autor(innen)

Simon N. Wood is a professor of Statistical Science at the University of Bristol, UK, and author of the R package mgcv.