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Generalized Additive Models

- An Introduction with R, Second Edition
Af: Simon N. Wood Engelsk Hardback

Generalized Additive Models

- An Introduction with R, Second Edition
Af: Simon N. Wood Engelsk Hardback
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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.

 

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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.

 

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Produktdetaljer
Sprog: Engelsk
Sider: 496
ISBN-13: 9781498728331
Indbinding: Hardback
Udgave: 2
ISBN-10: 1498728332
Kategori: Sandsynlighedsregning og statistik
Udg. Dato: 30 maj 2017
Længde: 34mm
Bredde: 244mm
Højde: 163mm
Forlag: Taylor & Francis Inc
Oplagsdato: 30 maj 2017
Forfatter(e): Simon N. Wood
Forfatter(e) Simon N. Wood

Kategori Sandsynlighedsregning og statistik

ISBN-13 9781498728331

Sprog Engelsk

Indbinding Hardback

Sider 496

Udgave 2

Længde 34mm

Bredde 244mm

Højde 163mm

Udg. Dato 30 maj 2017

Oplagsdato 30 maj 2017

Forlag Taylor & Francis Inc