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• Title:Generalized additive models : an introduction with R / Simon N. Wood.
  
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• Author/Creator:Wood, Simon N.
  
• Published/Created:Boca Raton, FL : Chapman & Hall/CRC, 2006.
  

• Holdings

  Holdings Record Display

  • Location:OKANAGAN LIBRARY stacksWhere is this?
    
  • Call Number: QA274.73 .W66 2006
    
  • Number of Items:1
    
  • Status:Available
    

   
• Library of Congress Subjects:Random walks (Mathematics)
  Linear models (Statistics)
  R (Computer program language)--Mathematical models.
  
• Description:xvii, 391 pages : illustrations ; 25 cm
  
• Series:Texts in statistical science.
  
• 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."--Jacket.
  
• Notes:Includes bibliographical references (pages 379-383) and index.
  
• ISBN:1584884746 (acid-free paper)
  9781584884743 (acid-free paper)
  
• Contents:Linear models
  Generalized linear models
  Introducing GAM's
  Some GAM theory
  GAMs in practice: mgcv
  Mixed models and GAMMs.