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Other titles in the CRC Monographs on Statistics & Applied Probability series:
CRC Monographs on Statistics & Applied Probability #43: Generalized Additive Modelsby Hastie Hastie
Synopses & Reviews
Book News Annotation:
Describes a new array of power tools for data analysis, based on nonparametric regression or smoothing techniques. These methods relax the usual linear assumption in many standard models, allowing the analyst to uncover structure in the data that otherwise might have been missed. Assumes masters-level statistics. Includes exercises.
Annotation c. Book News, Inc., Portland, OR (booknews.com)
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.
Incldues bibliographical references (p. 311-324) and index.
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