Generalized Additive Models: An Introduction with R (Chapman & Hall/CRC Texts in Statistical Science) 1st Edition – Ebook PDF Version – Digital Instant Dowload.
Product details:
- ISBN-10 : 1584884746
- ISBN-13 : 978-1584884743
- Author: Hastie and Tibshirani
Now in widespread use, generalized additive models (GAMs) have evolved into a standard statistical methodology of considerable flexibility. While Hastie and Tibshirani’s outstanding 1990 research monograph on GAMs is largely responsible for this, there has been a long-standing need for an accessible introductory treatment of the subject that also emphasizes recent penalized regression spline approaches to GAMs and the mixed model extensions of these models.
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.
Table contents:
Linear Models
Linear Mixed Models
Generalized Linear Models
Introducing GAMs
Smoothers
GAM theory
GAMs in Practice: mgcv
Appendices A,B,C