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Vector Generalized Linear and Additive Models: With an Implementation in R (Springer Series in Statistics) by Thomas W. Yee is a nonfiction available to read on EtoBox.

What is Vector Generalized Linear and Additive Models: With an Implementation in R (Springer Series in Statistics) about?

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 operable, the framework allows analyses based on many semi-traditional applied statistics models to be performed as a coherent whole. Since their advent in 1972, GLMs have unified important distributions under a single umbrella with enormous implications. However, GLMs are not flexible enough to cope with the demands of practical data analysis. And data-driven GLMs, in the form of generalized additive models (GAMs), are also largely confined to the exponential family. The methodology here and accompanying software (the extensive VGAM R package) are directed at these limitations and are described comprehensively for the first time in one volume. This book treats distributions and classical models as generalized regression models, and the result is a much broader application base for GLMs and GAMs. The book can be used in senior undergraduate or first-year postgraduate courses on GLMs or categor

Who reads Vector Generalized Linear and Additive Models: With an Implementation in R (Springer Series in Statistics)?

Author

Thomas W. Yee

Publisher

Springer New York, New York, NY

Published

2015

Language

EN

ISBN

9781493928170

Category

nonfiction

Subjects

Mathematics, Computer Science, Science