PubMed · 11252601
A score test for testing a zero-inflated Poisson regression model against zero-inflated negative binomial alternatives.
Abstract
Count data often show a higher incidence of zero counts than would be expected if the data were Poisson distributed. Zero-inflated Poisson regression models are a useful class of models for such data, but parameter estimates may be seriously biased if the nonzero counts are overdispersed in relation to the Poisson distribution. We therefore provide a score test for testing zero-inflated Poisson regression models against zero-inflated negative binomial alternatives.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
M Ridout, J Hinde, C G Demétrio. 2001. A score test for testing a zero-inflated Poisson regression model against zero-inflated negative binomial alternatives.. https://doi.org/10.1111/j.0006-341x.2001.00219.x
Cite the original work for its findings. Save a collection to share your selection of sources.