

An edition of Generalized Additive Models (2006)
An Introduction with R (Texts in Statistical Science)
By Simon Wood
Publish Date
February 27, 2006
Publisher
Chapman & Hall/CRC
Language
eng
Pages
416
Description:
"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. The treatment is rich with practical examples, and it includes an entire chapter on the analysis of real data sets using R and the author's add-on package mgcv."--BOOK JACKET.
subjects: R (Langage de programmation), R (Lenguaje de programación), Random walks (statistiek), R (Computer program language), Mathematical models, R (computerprogramma), R <Programm>, Linear models (Statistics), Random walks (Mathematics), Modèle linéaire, Statistisches Modell, Modèle additif généralisé, Lineaire modellen, Modelos matemáticos, R (computer program language)--mathematical models, Linear models [mesh], Qa274.73 .w66 2006, 519.2/82