Description: Generalized Additive Models : An Introduction With R, Hardcover by Wood, Simon N., ISBN 1498728332, ISBN-13 9781498728331, Like New Used, Free shipping in the US 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 th’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.
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Book Title: Generalized Additive Models : An Introduction With R
Number of Pages: 476 Pages
Publication Name: Generalized Additive Models : an Introduction with R, Second Edition
Language: English
Publisher: CRC Press LLC
Item Height: 1.3 in
Publication Year: 2017
Subject: Programming Languages / General, Probability & Statistics / Stochastic Processes, Probability & Statistics / General
Type: Textbook
Item Weight: 38.2 Oz
Subject Area: Mathematics, Computers
Author: Simon N. Wood
Item Length: 9.4 in
Series: Chapman and Hall/Crc Texts in Statistical Science Ser.
Item Width: 6.4 in
Format: Hardcover