Generalized Additive Models
Author | : T.J. Hastie |
Publisher | : Routledge |
Total Pages | : 352 |
Release | : 2017-10-19 |
ISBN-10 | : 9781351445979 |
ISBN-13 | : 1351445979 |
Rating | : 4/5 (979 Downloads) |
Download or read book Generalized Additive Models written by T.J. Hastie and published by Routledge. This book was released on 2017-10-19 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.