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- W2040725375 abstract "We explore the possibility of modelling zero-inflated count data using the Neyman type A distribution. We extend three parameterizations of the Neyman type A distribution to allow their parameters to depend on covariates. We develop models which relate counts of Leadbeater’s possum to various habitat variables to illustrate the methodology. Half-normal plots are constructed for each model to explore the quality of the fit. We then formally compare the Neyman type A models using the method of Cox to test non-nested hypotheses. Finally, we compare each of the Neyman type A models with a model from a competing family, the conditional Poisson model." @default.
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- W2040725375 modified "2023-10-18" @default.
- W2040725375 title "Models for zero-inflated count data using the Neyman type A distribution" @default.
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- W2040725375 doi "https://doi.org/10.1177/1471082x0100100106" @default.
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