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Generalized Additive Models
T.J. Hastie
出版Routledge, 2017-10-19
主題Mathematics / Probability & Statistics / General
ISBN13514459799781351445979
URLhttp://books.google.com.hk/books?id=JFQPEAAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋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.