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Generalized Additive Models

An Introduction with R

Bibliographic Data

ID23398785
AuthorsSimon N Wood (0000-0002-2034-7453, corresponding author)
Year2017
Pages476
Publication date2017-05-18
Open AccessNo
TypeBOOK
VenueGeneralized Additive Models (SOURCE_BOOK)
PublisherChapman and Hall/CRC (PUBLISHER)
DOI10.1201/9781315370279
OpenAlexW3112717819
Open LibraryOL33595575M
ISBN9781315370279
LanguageEN
Citations received455

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.

Advanced Statistical Methods and Models · Mathematics · Statistical Methods and Bayesian Inference · Statistical Methods and Inference · Linear models (statistics) · Programming languages (Electronic computers) · Random walks (Mathematics)

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Unique citing works455
Citations per year23,95
Citation span2007 - 2026 (20)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 400

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