Generalized additive models : an introduction with R

✍ Scribed by Wood, Simon N.

Publisher: Chapman & Hall/CRC
Year: 2006
Tongue: English
Leaves: 404
Series: Texts in statistical science.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Generalized Additive Models: An Introduction with R imparts a thorough understanding of the theory and practical applications of GAMs and related advanced models, enabling informed use of these very flexible tools. The author bases his approach on a framework of penalized regression splines, and builds a well-grounded foundation through motivating chapters on linear and generalized linear models. While firmly Read more...

✦ Table of Contents

Linear models --
Generalized linear models --
Introducing GAM's --
Some GAM theory --
GAMs in practice: mgcv --
Mixed models and GAMMs.

✦ Subjects

Linear models (Statistics);R (Computer program language) -- Mathematical models;Random walks (Mathematics);MATHEMATICS -- Applied;MATHEMATICS -- Probability & Statistics -- General;Lineaire modellen;R (computerprogramma);Random walks (statistiek);Statistisches Modell;Verallgemeinertes lineares Modell;Modèle linéaire;R (Langage de programmation);Modèle additif généralisé;R

📜 SIMILAR VOLUMES

Generalized Additive Models: An Introduc

📁 Generalized Additive Models: An Introduction with R

✍ Simon Wood 📂 Library 📅 2006 🏛 Chapman and Hall/CRC 🌐 English

Now in widespread use, generalized additive models (GAMs) have evolved into a standard statistical methodology of considerable flexibility. While Hastie and Tibshirani's outstanding 1990 research monograph on GAMs is largely responsible for this, there has been a long-standing need for an accessible

Generalized Additive Models: An Introduc

📁 Generalized Additive Models: An Introduction with R

✍ Simon N. Wood 📂 Library 📅 2017 🏛 Chapman and Hall / CRC 🌐 English

<P>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 be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, providing the necessary

Generalized Additive Models: An Introduc

📁 Generalized Additive Models: An Introduction with R

✍ Simon N. Wood 📂 Library 📅 2017 🏛 Chapman and Hall/CRC 🌐 English

Generalized Additive Models: An Intoduct

📁 Generalized Additive Models: An Intoduction with R

✍ Simon N. Wood 📂 Library 📅 2006 🏛 Chapman and Hall/CRC 🌐 English

Generalized Additive Models: An Introduc

📁 Generalized Additive Models: An Introduction with R, Second Edition

✍ Wood, Simon N 📂 Library 📅 2017 🏛 Chapman and Hall/CRC 🌐 English

Vector Generalized Linear and Additive M

📁 Vector Generalized Linear and Additive Models: With an Implementation in R

✍ Thomas W. Yee (auth.) 📂 Library 📅 2015 🏛 Springer-Verlag New York 🌐 English

<p><p>This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling. Comprising of about half-a-dozen major classes of statistical models, and fortified with necessary infrastructure to make the models more fully