- Title
- Assessing Poisson and logistic regression models using smooth tests
- Creator
- Rippon, Paul; Rayner, J. C. W.
- Relation
- 4th Applied Statistics Education and Research Collaboration (ASEARC) Conference. Proceedings of the 4th Applied Statistics Education and Research Collaboration (ASEARC) Conference (Parramatta, N.S.W. 17-18 February, 2011) p. 47-50
- Relation
- http://www.uow.edu.au/informatics/maths/research/groups/asearc/index.html
- Publisher
- University of Wollongong (CSSM)
- Resource Type
- conference paper
- Date
- 2011
- Description
- A smooth testing approach has been used to develop a test of the distributional assumption for generalized linear models. Application of this test to help assess Poisson and logistic regression models is discussed in this paper and power is compared to some common tests.
- Subject
- generalized linear models; goodness of fit; logistic regression; Poisson regression
- Identifier
- http://hdl.handle.net/1959.13/939875
- Identifier
- uon:12895
- Identifier
- ISBN:9781741281958
- Language
- eng
- Full Text
- Reviewed
- Hits: 1891
- Visitors: 2094
- Downloads: 250
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | ATTACHMENT01 | Publisher version (open access) | 143 KB | Adobe Acrobat PDF | View Details Download |