The University of Southampton
University of Southampton Institutional Repository

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

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

Full text not available from this repository.

Citation

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.

More information

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

Identifiers

Local EPrints ID: 29932
URI: http://eprints.soton.ac.uk/id/eprint/29932
ISSN: 1471-082X
PURE UUID: 35df48d8-1a17-4c47-8090-dc016306dde8

Catalogue record

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

Export record

Contributors

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

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×