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.
| ISBN: | 9780412343902 |
| Publication date: | 1st June 1990 |
| Author: | Trevor Hastie, R J Tibshirani |
| Publisher: | Chapman & Hall/CRC an imprint of CRC Press |
| Format: | Hardback |
| Pagination: | 335 pages |
| Series: | Chapman & Hall/CRC Monographs on Statistics and Applied Probability |
| Genres: |
Probability and statistics |
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.
Generalized Additive Models features in the following genres: Probability and statistics
Hardback. £154.79, down from the £171.99 cover price. Not Available.
Generalized Additive Models was written by Trevor Hastie, R J Tibshirani and published by Chapman & Hall/CRC an imprint of CRC Press
Generalized Additive Models has 335 pages
Yes it is part of Chapman & Hall/CRC Monographs on Statistics and Applied Probability series
£154.79, reduced from £171.99. Not Available.