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Grouped goodness-of-fit tests for binary regression models
Canary, JD 2013
, 'Grouped goodness-of-fit tests for binary regression models', PhD thesis, University of Tasmania.
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(Front matter)
front--Canary-t...pdf | Download (353kB) Available under University of Tasmania Standard License. |
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(Whole thesis)
Whole-Canary-th...pdf | Download (3MB) Available under University of Tasmania Standard License. |
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 |
|---|---|
| Authors/Creators: | Canary, JD |
| 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, |
| Additional Information: | Copyright 2013 the Author |
| Item Statistics: | View statistics for this item |
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