Generalized Additive Models

An Introduction with R, Second Edition

Simon N. Wood (Autor)

Buch | Hardcover

496 Seiten

2017 | 2nd edition
Chapman & Hall/CRC (Verlag)
978-1-4987-2833-1 (ISBN)

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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.

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

Preface

Linear Models

Linear Mixed Models

Generalized Linear Models

Introducing GAMs

Smoothers

GAM theory

GAMs in Practice: mgcv

Appendices A,B,C

Erscheinungsdatum	25.05.2016
Reihe/Serie	Chapman & Hall/CRC Texts in Statistical Science
Zusatzinfo	5 Tables, black and white; 106 Line drawings, black and white; 39 Halftones, black and white; 145 Illustrations, black and white
Sprache	englisch
Maße	156 x 234 mm
Gewicht	900 g
Themenwelt	Mathematik / Informatik ► Mathematik
ISBN-10	1-4987-2833-2 / 1498728332
ISBN-13	978-1-4987-2833-1 / 9781498728331
Zustand	Neuware