Publication detailsWilson, Paul & Einbeck, Jochen (2016), On statistical testing and mean parameter estimation for zero-modification in count data regression, in Dupuy, J.F. & Josse, J. eds, I: International Workshop on Statistical Modelling. Rennes, Statistical Modelling Society, 327-332.
- Publication type: Conference Paper
- Keywords: Zero-modification; zero-truncated model; hypothesis testing
- Further publication details on publisher web site
- Durham Research Online (DRO) - may include full text
Author(s) from Durham
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.