Models for zero-inflated count data using the Neyman type A distribution


Dobbie, M.J. and Welsh, A.H. (2001) Models for zero-inflated count data using the Neyman type A distribution. Statistical Modelling, 1, (11), 65-80.

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Description/Abstract

We explore the possibility of modelling zero-inflated count data using the Neyman type A distribution. We extend three parameterisations of the Neyman type A distribution to allow their parameters to depend on covariates. We develop models which relate counts of Leadbeater's possums to various habitat variables to illustrate the methodology. Half-normal plots (Vieira et al, 2000) are constructed for each model to explore the quality fo the fit. We then formally compare the Neyman type A models using the method of Cox (1961, 1962) to test nonnested hypotheses. Finally we compare each of the Neyman type A models with a model from a competing family, the conditional Poisson model

Item Type: Article
ISSNs: 1471-082X (print)
Related URLs:
Keywords: contagious distributions, covariate adjustment, Neyman type A distribution, non-nested hypothesis, parameterization, zero-inflated counts
Subjects: Q Science > QA Mathematics
H Social Sciences > HA Statistics
Divisions: University Structure - Pre August 2011 > School of Mathematics > Statistics
ePrint ID: 29932
Date Deposited: 11 May 2006
Last Modified: 27 Mar 2014 18:18
URI: http://eprints.soton.ac.uk/id/eprint/29932

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