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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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 |
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| Related URLs: | |
| Subjects: | Q Science > QA Mathematics H Social Sciences > HA Statistics |
| Divisions: | University Structure - Pre August 2011 > School of Mathematics > Statistics |
| Item ID: | 29937 |
| Date Deposited: | 11 May 2006 |
| Last Modified: | 01 Jun 2011 06:36 |
| Contributors: | Dobbie, Melissa J. (Author) Welsh, A.H. (Author) |
| Date: | 2001 |
| Status: | Published |
| URI: | http://eprints.soton.ac.uk/id/eprint/29937 |
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