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

Wilson, Paul and Einbeck, Jochen (2016) 'On statistical testing and mean parameter estimation for zero-modification in count data regression.', in Proceedings of the 31st International Workshop on Statistical Modelling. July 4-8, 2016, Rennes, France. , pp. 327-332.

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.

Item Type:Book chapter
Keywords:Zero-modification, zero-truncated model, hypothesis testing
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:http://www.statmod.org/workshops_archive_proceedings_2016.htm
Date accepted:25 March 2016
Date deposited:03 January 2017
Date of first online publication:2016
Date first made open access:No date available

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