Generalized Linear Models and Extensions

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Generalized Linear Models and Extensions
James W. Hardin, James W. Hard ...
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October 7, 2021 | History

Generalized Linear Models and Extensions

  • 1 Want to read

"The third edition of Generalized Linear Models and Extensions provides a comprehensive overview of the nature and scope of generalized linear models (GLMs) and of the major changes to the basic GLM algorithm that allow modeling of data that violate GLM distributional assumptions. The text stands out in its coverage of the derivation of GLM families and of their foremost links, and also guides the reader in how to apply the various GLM and GLM-extensions to real data. This edition has added a new chapter on data synthesis, which provides instruction on simulating independent as well as correlated data. Regression models illustrated with synthetic and real data are provided throughout the book to enable readers to better understand the models and their assumptions. We have also added discussion of models such as Poisson-inverse Gaussian, generalized Poisson, and generalized negative binomial, as well as more enhanced discussion of other binomial land count models, and of tests for the analysis of model fit. The book was written for researchers needing guidelines on how to select, construct, interpret, and evaluate this general class of models." --From cover.

Publish Date
Language
English

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Edition Availability
Cover of: Generalized Linear Models and Extensions
Generalized Linear Models and Extensions
2018, Taylor & Francis Group
in English
Cover of: Generalized linear models and extensions
Generalized linear models and extensions
2012, Stata Press
in English - 3rd ed.
Cover of: Generalized linear models and extensions
Generalized linear models and extensions
2007, Stata Press
in English - 2nd ed.
Cover of: Generalized Linear Models and Extensions, Second Edition
Generalized Linear Models and Extensions, Second Edition
February 20, 2007, Stata Press
Paperback in English - 2 edition

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Book Details


Classifications

Library of Congress
QA279

The Physical Object

Pagination
598
Weight
1.243

Edition Identifiers

Open Library
OL34668875M
ISBN 13
9781597182256

Work Identifiers

Work ID
OL12342255W

Source records

Better World Books record

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October 7, 2021 Created by ImportBot Imported from Better World Books record