Author

Publication

2006-02-27 - Chapman & Hall/CRC

Language

English

Word Count

104,000 words, Guess

Page Count

416 pages

Physical Format

Hardcover

Identifiers

and 3 more
  • Library of Congress Control Number2006040209
  • LibraryThing3035478
  • Goodreads772593

Classifications

  • LCCQA274.73 .W66 2006

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

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