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 McCull...
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
[Place of publication not identified] :
Routledge,
2017
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| Series: | Monographs on statistics and applied probability (Series) ;
43 |
| Subjects: | |
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| Summary: | 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 |
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| Physical Description: | 1 online resource (352 pages) |
| ISBN: | 020375378X 1351445952 1351445960 1351445979 9780203753781 9781351445955 9781351445962 9781351445979 |