Models for zero-inflated count data using the Neyman type A distribution
Dobbie, M.J. and Welsh, A.H. (2001) Models for zero-inflated count data using the Neyman type A distribution. Statistical Modelling, 1, (11), 65-80.
Full text not available from this repository.
We explore the possibility of modelling zero-inflated count data using the Neyman type A distribution. We extend three parameterisations of the Neyman type A distribution to allow their parameters to depend on covariates. We develop models which relate counts of Leadbeater's possums to various habitat variables to illustrate the methodology. Half-normal plots (Vieira et al, 2000) are constructed for each model to explore the quality fo the fit. We then formally compare the Neyman type A models using the method of Cox (1961, 1962) to test nonnested hypotheses. Finally we compare each of the Neyman type A models with a model from a competing family, the conditional Poisson model
|Keywords:||contagious distributions, covariate adjustment, Neyman type A distribution, non-nested hypothesis, parameterization, zero-inflated counts|
|Subjects:||Q Science > QA Mathematics
H Social Sciences > HA Statistics
|Divisions:||University Structure - Pre August 2011 > School of Mathematics > Statistics
|Date Deposited:||11 May 2006|
|Last Modified:||31 Mar 2016 11:56|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)