Preface. Introduction. Smoothing. Smoothing in Detail. Additive Models. Some Theory for Additive Models. Generalized Additive Models. Response Transformation Models. Extensions to Other Settings. Further Topics. Case Studies. Appendices. References. Author Index. Subject Index.
"That the authors succeed in conveying their message is largely due
to the extremely clear and effective organization of the text.
General concepts are introduced, illustrated with relatively simple
applications, and then re-examined at a more theoretical
level."
-Journal of the Royal Statistical Society, Series C
"This book aims to 'provide an up-to-date survey of current
research in additive modelling,' with the 'emphasis on practical
rather than theoretical.' With that in mind, the book does
extremely well."
-Statistics in Medicine
"Generalized Additive Models is a good starting point for
researchers wishing to initiate themselves in the vast and
burgeoning area of large-sample nonparametric model fitting."
-Journal of the American Statistical Association
"Overall, my impressions of this book are very favorable, and I
consider it a book worth owning... The material is presented
clearly and attractively. I recommend it to anyone interested in or
needing to use extensions to the general linear model."
-Technometrics
"... a complete introduction to the topic in a single monograph...
a very readable book that provides the reader with great insight
into a vast array of data analysis techniques... an excellent text
for a course on smoothing-based analysis techniques... highly
recommended to any reader interested in an introduction to many of
the recent developments in data analysis."
-Siam Review
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