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Grouped goodness-of-fit tests for binary regression models

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Canary, JD (2013) Grouped goodness-of-fit tests for binary regression models. PhD thesis, University of Tasmania.

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Abstract

How well a proposed regression model fits the observed outcome data is a critical question. The
answer may influence model selection, and the conclusions drawn. Summary goodness-of-fit
(GOF) statistics are used to assess model fit.

Item Type: Thesis (PhD)
Keywords: Goodness-of-fit test, Generalized Linear Models, Tsiatis, Hosmer-Lemeshow, Pigeon-Heyse, Score test, non-canonical links, pro bit, log-log, complementary log-log, log binomial,
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Copyright 2013 the Author

Date Deposited: 20 Aug 2014 00:29
Last Modified: 11 Mar 2016 05:52
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