- Title: Generalized Additive Models: An Introduction with R
- Series: Chapman & Hall / CRC Texts in Statistical Science
- Hardcover: 496 pages
- Publisher: Chapman and Hall / CRC; 2 edition (June 6, 2017)
- Language: English
The first edition of this book has established itself as one of the first 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- Provided 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 references their penalized regression splines, and while reinforced focused on the practical concerns of the practical examples of Theology contains a 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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