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An Introduction To Generalized Linear Models, Third Edition

by Annette J. Dobson, Adrian G. Barnett
An Introduction To Generalized Linear Models, Third Edition - Thryft
An Introduction To Generalized Linear Models, Third Edition - Thryft

Comprehensive guide to statistical modeling for researchers.

This book provides a comprehensive guide to statistical modeling, making it an ideal choice for researchers and professionals in the field. With an emphasis on numerical and graphical methods, the book covers a wide range of topics including generalized linear models, Bayesian analysis, and multilevel modeling. The inclusion of practical examples and exercises with complete data sets allows for a hands-on learning experience. Whether you are a beginner or an experienced researcher, this book will equip you with the necessary tools to analyze and interpret various types of data.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.

An Introduction To Generalized Linear Models, Third Edition

by Annette J. Dobson, Adrian G. Barnett
Condition guide

Book Condition Guide

Books in Like New Condition

This book may contain very minor cosmetic defects, but it is in pristine condition. There should be no yellowing, no foxing, no water damage, and no annotations of any kind on the cover and the pages. For paperbacks, there should not be any crease marks on the spine. This book is good as new — lucky you!

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Very Good Condition

This book has been used, but it is still in a clean condition. There should be no foxing or annotations of any kind on the inner pages, but a sparse amount may be present on the cover, title pages, or outside edges of the book. There should be no water damage of any kind. For paperbacks, there may be light crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Good Condition

We do our best to ensure the quality of our books, but there is no escaping the wear and tear that comes with time. Slight foxing and some annotations may be present on the pages and the cover. There should be no water damage of any kind. For paperbacks, there may be several crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Well Read Condition

This is a well-read book, which means that the previous owner probably really enjoyed it! The cover and pages may include moderate foxing and annotations, but the text is not obscured and still readable. Moderate cosmetic defects and minor water damage may be present on the edges of the book. For paperbacks, there may be multiple crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

 

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ISBN: 9781584889502
Authors: Annette J. Dobson, Adrian G. Barnett
Publisher: Chapman and Hall/CRC
Date of Publication: 2008-05-12
Format: Paperback
Related Collections: Science, Mathematics, Statistics
Related Topics: Mathematics, Statistics, Popular Science
Goodreads rating: 4.0
(rated by 31 readers)

Description

Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition provides a cohesive framework for statistical modeling. This new edition of a bestseller has been updated with Stata, R, and WinBUGS code as well as three new chapters on Bayesian analysis. Like its predecessor, this edition presents the theoretical background of generalized linear models (GLMs) before focusing on methods for analyzing particular kinds of data. It covers normal, Poisson, and binomial distributions; linear regression models; classical estimation and model fitting methods; and frequentist methods of statistical inference. After forming this foundation, the authors explore multiple linear regression, analysis of variance (ANOVA), logistic regression, log-linear models, survival analysis, multilevel modeling, Bayesian models, and Markov chain Monte Carlo (MCMC) methods. Using popular statistical software programs, this concise and accessible text illustrates practical approaches to estimation, model fitting, and model comparisons. It includes examples and exercises with complete data sets for nearly all the models covered.
 

Comprehensive guide to statistical modeling for researchers.

This book provides a comprehensive guide to statistical modeling, making it an ideal choice for researchers and professionals in the field. With an emphasis on numerical and graphical methods, the book covers a wide range of topics including generalized linear models, Bayesian analysis, and multilevel modeling. The inclusion of practical examples and exercises with complete data sets allows for a hands-on learning experience. Whether you are a beginner or an experienced researcher, this book will equip you with the necessary tools to analyze and interpret various types of data.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.