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A Beginner's Guide to Generalized Additive Models with R

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Author :
Release : 2012
Genre : Ecology
Kind : eBook
Book Rating : 122/5 ( reviews)

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Book Synopsis A Beginner's Guide to Generalized Additive Models with R by : Alain F. Zuur

Download or read book A Beginner's Guide to Generalized Additive Models with R written by Alain F. Zuur. This book was released on 2012. Available in PDF, EPUB and Kindle. Book excerpt: A Beginner's Guide to Generalized Additive Models with R is exclusively available from: www.highstat.com

Generalized Additive Models

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Release : 2006-02-27
Genre : Mathematics
Kind : eBook
Book Rating : 409/5 ( reviews)

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Book Synopsis Generalized Additive Models by : Simon N. Wood

Download or read book Generalized Additive Models written by Simon N. Wood. This book was released on 2006-02-27. Available in PDF, EPUB and Kindle. Book excerpt: 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 e

Generalized Additive Models

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Release : 2017-05-18
Genre : Mathematics
Kind : eBook
Book Rating : 340/5 ( reviews)

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Book Synopsis Generalized Additive Models by : Simon N. Wood

Download or read book Generalized Additive Models written by Simon N. Wood. This book was released on 2017-05-18. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, providing the necessary background in linear models, linear mixed models, and generalized linear models (GLMs), before presenting a balanced treatment of the theory and applications of GAMs and related models. The author bases his approach on a framework of penalized regression splines, and while firmly focused on the practical aspects of GAMs, discussions include fairly full explanations of the theory underlying the methods. Use of R software helps explain the theory and illustrates the practical application of the methodology. Each chapter contains an extensive set of exercises, with solutions in an appendix or in the book’s R data package gamair, to enable use as a course text or for self-study. Simon N. Wood is a professor of Statistical Science at the University of Bristol, UK, and author of the R package mgcv.

A Beginner's Guide to Generalised Additive Mixed Models with R

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Author :
Release : 2014
Genre : Multilevel models (Statistics)
Kind : eBook
Book Rating : 153/5 ( reviews)

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Book Synopsis A Beginner's Guide to Generalised Additive Mixed Models with R by : Alain F. Zuur

Download or read book A Beginner's Guide to Generalised Additive Mixed Models with R written by Alain F. Zuur. This book was released on 2014. Available in PDF, EPUB and Kindle. Book excerpt:

A Beginner's Guide to GLM and GLMM with R

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Author :
Release : 2013
Genre : Ecology
Kind : eBook
Book Rating : 139/5 ( reviews)

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Book Synopsis A Beginner's Guide to GLM and GLMM with R by : Alain F. Zuur

Download or read book A Beginner's Guide to GLM and GLMM with R written by Alain F. Zuur. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt: This book presents Generalized Linear Models (GLM) and Generalized Linear Mixed Models (GLMM) based on both frequency-based and Bayesian concepts.

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