Paul Wilson
On statistical testing and mean parameter estimation for zero-modification in count data regression
Wilson, Paul; Einbeck, Jochen
Authors
Professor Jochen Einbeck jochen.einbeck@durham.ac.uk
Professor
Contributors
J. F. Dupuy
Editor
J. Josse
Editor
Abstract
For the problem of testing for zero-modification in Poisson regression, a simple and intuitive test can be constructed by computing directly confidence intervals for the number of 0's under the Poisson assumption. This requires the ability of estimating the mean function accurately even if the data are in fact zero--inflated or deflated. A novel hybrid estimator is introduced for this purpose, which is of interest beyond the scope of the motivating test problem.
Citation
Wilson, P., & Einbeck, J. (2016). On statistical testing and mean parameter estimation for zero-modification in count data regression. In J. F. Dupuy, & J. Josse (Eds.), Proceedings of the 31st International Workshop on Statistical Modelling. July 4-8, 2016, Rennes, France (327-332)
Conference Name | International Workshop on Statistical Modelling |
---|---|
Conference Location | Rennes |
Acceptance Date | Mar 25, 2016 |
Publication Date | Jan 1, 2016 |
Deposit Date | Jan 2, 2017 |
Publicly Available Date | Mar 29, 2024 |
Volume | I |
Pages | 327-332 |
Book Title | Proceedings of the 31st International Workshop on Statistical Modelling. July 4-8, 2016, Rennes, France. |
Keywords | Zero-modification, zero-truncated model, hypothesis testing |
Public URL | https://durham-repository.worktribe.com/output/1147967 |
Publisher URL | http://www.statmod.org/workshops_archive_proceedings_2016.htm |
Files
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Published Conference Proceeding
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