Generalized additive models : an introduction with R
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The work Generalized additive models : an introduction with R represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Generalized additive models : an introduction with R
Resource Information
The work Generalized additive models : an introduction with R represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
- Label
- Generalized additive models : an introduction with R
- Title remainder
- an introduction with R
- Statement of responsibility
- Simon N. Wood
- Language
- eng
- Summary
- "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
- Cataloging source
- DLC
- Dewey number
- 519.2/82
- Illustrations
- illustrations
- Index
- index present
- LC call number
- QA274.73
- LC item number
- .W66 2006
- Literary form
- non fiction
- Nature of contents
- bibliography
- Series statement
- Texts in statistical science
Context
Context of Generalized additive models : an introduction with RWork of
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