Generalized linear models

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

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 languageEnglish
Title of host publicationInternational Encyclopedia of Education
EditorsP Peterson, E Baker, B McGaw
PublisherElsevier
Pages178-183
Number of pages6
Edition3rd
ISBN (Print)9780080448947
DOIs
Publication statusPublished - 2010

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    Faraway, J. J. (2010). Generalized linear models. In P. Peterson, E. Baker, & B. McGaw (Eds.), International Encyclopedia of Education (3rd ed., pp. 178-183). Elsevier. https://doi.org/10.1016/B978-0-08-044894-7.01331-2