Generalized additive models
Author(s)
Bibliographic Information
Generalized additive models
（Monographs on statistics and applied probability, 43）
Chapman and Hall, 1990
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Note
Bibliography: p. 311-324
Includes indexes
"Originally published by Chapman & Hall. First edition 1990. First CRC reprint 1999" -- T.p. verso
Description and Table of Contents
Description
This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linear assumption of many standard models and allow analysts to uncover structure in the data that might otherwise have been missed. While McCullagh and Nelder's Generalized Linear Models shows how to extend the usual linear methodology to cover analysis of a range of data types, Generalized Additive Models enhances this methodology even further by incorporating the flexibility of nonparametric regression. Clear prose, exercises in each chapter, and case studies enhance this popular text.
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.
by "Nielsen BookData"
