Generalized Additive Models - An Introduction with R, Second Edition (Hardcover, 2nd edition)

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.

General

Imprint:	Productivity Press
Country of origin:	United States
Series:	Chapman & Hall/CRC Texts in Statistical Science
Release date:	May 2017
First published:	2017
Authors:	Simon N Wood
Dimensions:	235 x 156 x 33mm (L x W x T)
Format:	Hardcover
Pages:	476
Edition:	2nd edition
ISBN-13:	978-1-4987-2833-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Promotions
LSN:	1-4987-2833-2
Barcode:	9781498728331

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!