Generalized Additive Models: An Intoduction with R ebook
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Generalized Additive Models: An Intoduction with R by Simon N. Wood
Download Generalized Additive Models: An Intoduction with R
Generalized Additive Models: An Intoduction with R Simon N. Wood ebook
Language: English
Page: 397
Format: pdf
ISBN: 1584884746, 9781584884743
Publisher: Chapman and Hall/CRC
Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and related advanced models, enabling informed use of these very flexible tools. The author bases his approach on a framework of penalized regression splines, and builds a well-grounded foundation through motivating chapters on linear and generalized linear models. While firmly focused on the practical aspects of GAMs, discussions include fairly full explanations of the theory underlying the methods. Use of the freely available R software helps explain the theory and illustrates the practicalities of linear, generalized linear, and generalized additive models, as well as their mixed effect extensions.
Concise, comprehensive, and essentially self-contained, Generalized Additive Models: An Introduction with R prepares readers with the practical skills and the theoretical background needed to use and understand GAMs and to move on to other GAM-related methods and models, such as SS-ANOVA, P-splines, backfitting and Bayesian approaches to smoothing and additive modelling.
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