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Generalised additive models/ Hastie, T J & Tibshirani, R J

By: Contributor(s): Series: Monographs on Statistics and Applied Probability ; 43Publication details: Boca Raton: CRC Press, 2020Edition: Indian edDescription: xv, 335 pages, 23 cmISBN:
  • 9780367488390
Subject(s): DDC classification:
  • 23 SA.062 H356
Contents:
Introduction -- Smoothing -- Smoothing in detail -- Additive models -- Some theory for additive models -- Generalised additive models -- Response transformation models -- Extensions to other settings -- Further topics -- Case studies
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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Includes bibliography and index

Introduction -- Smoothing -- Smoothing in detail -- Additive models -- Some theory for additive models -- Generalised additive models -- Response transformation models -- Extensions to other settings -- Further topics -- Case studies

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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