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On statistical testing and mean parameter estimation for zero-modification in count data regression

Wilson, Paul; Einbeck, Jochen

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Authors

Paul Wilson



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

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