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), 431-444. (doi:10.1111/1467-842X.00191).

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Original Publication URL: http://dx.doi.org/10.1111/1467-842X.00191

Description/Abstract

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)

Item Type: Article
Digital Object Identifier (DOI): doi:10.1111/1467-842X.00191
Related URLs:
Subjects: Q Science > QA Mathematics
H Social Sciences > HA Statistics
Divisions : University Structure - Pre August 2011 > School of Mathematics > Statistics
ePrint ID: 29937
Accepted Date and Publication Date:
Status
2001Published
Date Deposited: 11 May 2006
Last Modified: 31 Mar 2016 11:56
URI: http://eprints.soton.ac.uk/id/eprint/29937

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