Table of Contents

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.

Reviews

"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