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Modelling correlated zero-inflated count data

Record type: Article

This paper extends the two-component approach to modelling count data with extra zeros, considered by Mullahy (1986), Heilbron (1994) and Welsh et al. (1996), to take account of possible serial dependence between repeated observations. Generalized estimating equations (Liang & Zeger, 1986) are constructed for each component of the model by incorporating correlation matrices into each of the maximum likelihood estimating equations. The proposed method is demonstrated on weekly counts of Noisy Friarbirds (Philemon cornic-ulatus), which were recorded by observers for the Canberra Garden Bird Survey (Hermes, 1981)

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Citation

Dobbie, Melissa J. and Welsh, A.H. (2001) Modelling correlated zero-inflated count data Australian and New Zealand Journal of Statistics, 43, (4), pp. 431-444. (doi:10.1111/1467-842X.00191).

More information

Published date: 2001
Organisations: Statistics

Identifiers

Local EPrints ID: 29937
URI: http://eprints.soton.ac.uk/id/eprint/29937
ISSN: 1369-1473
PURE UUID: f97150a8-9d15-45a7-9118-5fc484d02936

Catalogue record

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

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Contributors

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

University divisions


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