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Generalized Additive Models: An Introduction with R, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) - Hardcover

Wood, Simon N.

 
9781498728331: Generalized Additive Models: An Introduction with R, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Hardcover
ISBN 10: 1498728332 ISBN 13: 9781498728331
Verlag: Chapman and Hall/CRC, 2017

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Simon N. Wood is a professor of Statistical Science at the University of Bristol, UK, and author of the R package mgcv.

Von der hinteren Coverseite

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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Verlag
Chapman and Hall/CRC
Erscheinungsdatum
2017
Sprache
Englisch
ISBN 10 
1498728332
ISBN 13 
9781498728331
Einband
Gebundene Ausgabe
Auflage
2
Anzahl der Seiten
476
Kontakt zum Hersteller
CRC Press
https://www.routledge-ny.com

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