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Language: en
Pages: 412
Pages: 412
Type: BOOK - Published: 2006-02-27 - Publisher: CRC Press
Now in widespread use, generalized additive models (GAMs) have evolved into a standard statistical methodology of considerable flexibility. While Hastie and Tib
Language: en
Pages: 476
Pages: 476
Type: BOOK - Published: 2017-05-18 - Publisher: CRC Press
The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to
Language: en
Pages: 352
Pages: 352
Type: BOOK - Published: 2017-10-19 - Publisher: Routledge
This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linea
Language: en
Pages: 606
Pages: 606
Type: BOOK - Published: 2015-09-11 - Publisher: Springer
This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling. Comprising
Language: en
Pages: 320
Pages: 320
Type: BOOK - Published: 2020 - Publisher: Lulu.com
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp