Dunteman, George H. (Henry)

An Introduction to Generalized Linear Models (Quantitative Applications in the Social Sciences)

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ISBN 13:: 9780761920847
author:: Dunteman, George H. (Henry)
format:: Paperback
publisher:: Sage Publications, Inc
language:: English
Publication Year:: 2005
Pages:: 72
Dimensions:: 139 mm X 215 mm
Genre:: Social research & statistics
Condition:: New
Availability:: Item usually sent within 7 working days

£55.14

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Description

Description

An Introduction to Generalized Linear Models by George H. Dunteman and Moon-Ho R. Ho provides a thorough introduction to generalized linear models (GLM), exponential family distribution, and maximum likelihood estimation. This accessible yet comprehensive guide covers the fundamental statistical modeling concepts in a multiple regression framework and extends them to GLM, including Poisson regression, logistic regression, and proportional hazards models. The book emphasizes the importance of link functions and error distribution, demonstrating how model specifications translate into likelihood functions that can be used to estimate regression parameters and their associated standard errors. Real-life data sets are used to illustrate each procedure, along with computer instructions and results. This text is ideal for social science researchers who want to learn advanced techniques without a strong statistical background. Key features of the book include its focus on checking model adequacy and providing guidance on using SAS to fit GLM. The connection between survival analysis and GLM is also explored in detail, making this an excellent resource for those looking to expand their statistical knowledge.

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