
handle: 1885/93195
Summary: 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).
Linear inference, regression, Generalized estimating equation (GEE), Zero-inflated counts, Correlated data, Truncated Poisson distribution, Marginal model, 510, Applications of statistics to biology and medical sciences; meta analysis
Linear inference, regression, Generalized estimating equation (GEE), Zero-inflated counts, Correlated data, Truncated Poisson distribution, Marginal model, 510, Applications of statistics to biology and medical sciences; meta analysis
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