Score Test for Zero Adjusted Generalized Poisson Regression Model
by
Pushpa Gupta
Department of Mathematics and Statistics, University of Maine, USA
Coauthors: Ramesh Gupta, Ram Tripathi

In certain applications involving count data, it is sometimes found that zeros are observed with a frequency significantly higher (lower) than predicted by the assumed model. Examples of such applications are cited in the literature from engineering, manufacturing, economics, public health, epidemiology, psychology, sociology, political science, agriculture, road safety, species abundance, use of recreational facilities, horticulture, and criminology. In this talk, a zero adjusted generalized Poisson distribution is studied and a score test is developed, with and without covariates, to determine whether such an adjustment is necessary. Examples, with and without covariates, are provided to illustrate the results.

Date received: August 28, 2003