Generalized linear models

J J Faraway

doi:10.1016/B978-0-08-044894-7.01331-2

Generalized linear models

J J Faraway

Department of Mathematical Sciences

Research output: Chapter or section in a book/report/conference proceeding › Chapter or section

12 Citations (SciVal)

Abstract

Linear models allow the description of a continuous, symmetric response in terms of a linear combination of predictor variables. Generalized linear models extend this framework to a wider range of response types, including categorical, binary, and skewed continuous responses. This allows a common approach to statistical inference in the fitting and testing of such models as well as diagnostic checking.

Original language	English
Title of host publication	International Encyclopedia of Education
Editors	P Peterson, E Baker, B McGaw
Publisher	Elsevier
Pages	178-183
Number of pages	6
Edition	3rd
ISBN (Print)	9780080448947
DOIs	https://doi.org/10.1016/B978-0-08-044894-7.01331-2
Publication status	Published - 2010

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AB - Linear models allow the description of a continuous, symmetric response in terms of a linear combination of predictor variables. Generalized linear models extend this framework to a wider range of response types, including categorical, binary, and skewed continuous responses. This allows a common approach to statistical inference in the fitting and testing of such models as well as diagnostic checking.

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Generalized linear models

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