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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), pp. 65-80.

Record type: Article


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

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Published date: 2001
Keywords: contagious distributions, covariate adjustment, Neyman type A distribution, non-nested hypothesis, parameterization, zero-inflated counts
Organisations: Statistics


Local EPrints ID: 29932
ISSN: 1471-082X
PURE UUID: 35df48d8-1a17-4c47-8090-dc016306dde8

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Date deposited: 11 May 2006
Last modified: 17 Jul 2017 15:56

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Author: M.J. Dobbie
Author: A.H. Welsh

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