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Modelling correlated zero-inflated count data

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).

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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Published date: 2001
Organisations: Statistics


Local EPrints ID: 29937
ISSN: 1369-1473
PURE UUID: f97150a8-9d15-45a7-9118-5fc484d02936

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

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

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