An Introduction to Generalized Linear Models, Third Edition
Dobson, Annette J. & Barnett, Adrian G. (2008) An Introduction to Generalized Linear Models, Third Edition. Texts in Statistical Science, 77. Chapman & Hall/CRC Press, Boca Raton, FL.
- Introduces GLMs in a way that enables readers to understand the unifying structure that underpins them.
- Discusses common concepts and principles of advanced GLMs, including nominal and ordinal regression, survival analysis, and longitudinal analysis.
- Connects Bayesian analysis and MCMC methods to fit GLMs.
- Contains numerous examples from business, medicine, engineering, and the social sciences.
- Provides the example code for R, Stata, and WinBUGS to encourage implementation of the methods.
- Offers the data sets and solutions to the exercises online.
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.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Additional Information:||For more information about this book please refer to the publisher's website (see link) or contact the author.|
|Subjects:||Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400) > Applied Statistics (010401)|
|Divisions:||Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Public Health & Social Work
|Copyright Owner:||Copyright 2008 Chapman & Hall/CRC Press|
|Deposited On:||04 Nov 2008|
|Last Modified:||29 Feb 2012 13:44|
Repository Staff Only: item control page