By Simon N. Wood
The first variation of this booklet has demonstrated itself as one of many best references on generalized additive versions (GAMs), and the single e-book at the subject to be introductory in nature with a wealth of useful examples and software program implementation. it truly is self-contained, delivering the required heritage in linear versions, linear combined types, and generalized linear types (GLMs), earlier than proposing a balanced remedy of the idea and purposes of GAMs and similar types.
The writer bases his technique on a framework of penalized regression splines, and whereas firmly keen on the sensible facets of GAMs, discussions contain particularly complete causes of the idea underlying the tools. Use of R software program is helping clarify the speculation and illustrates the sensible program of the method. each one bankruptcy comprises an intensive set of routines, with options in an appendix or within the book’s R information package deal gamair, to let use as a path textual content or for self-study.
Simon N. Wood is a professor of Statistical technology on the college of Bristol, united kingdom, and writer of the R package deal mgcv.
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Extra resources for Generalized Additive Models: An Introduction with R, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Generalized Additive Models: An Introduction with R, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) by Simon N. Wood