Generalized Additive Models

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.

Author: T. J. Hastie, R. J. Tibshirani
Publisher: CRC Press
Published: 06/01/1990
Pages: 352
Binding Type: Hardcover
Weight: 1.33lbs
Size: 9.42h x 6.04w x 0.91d
ISBN: 9780412343902