# The Gamma-count distribution in the analysis of experimental underdispersed data

@article{Zeviani2014TheGD, title={The Gamma-count distribution in the analysis of experimental underdispersed data}, author={W. M. Zeviani and P. J. Ribeiro and W. H. Bonat and S. Shimakura and J. A. Muniz}, journal={Journal of Applied Statistics}, year={2014}, volume={41}, pages={2616 - 2626} }

Event counts are response variables with non-negative integer values representing the number of times that an event occurs within a fixed domain such as a time interval, a geographical area or a cell of a contingency table. Analysis of counts by Gaussian regression models ignores the discreteness, asymmetry and heteroscedasticity and is inefficient, providing unrealistic standard errors or possibly negative predictions of the expected number of events. The Poisson regression is the standard… Expand

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