ON ESTIMATION AND TESTS FOR ZERO INFLATED REGRESSION MODELS
by Sumathi K. and Aruna Rao K.
The zero altered count models are being widely used in various disciplines such as econometrics and medicine. Many of the applications involve the zero inflated Poisson (ZIP) model and its generalizations. A few applications can also be found using zero altered negative binomial and binomial distributions. This paper provides a brief review of the literature on zero inflated models (ZIM). The regularity conditions for the existence of maximum likelihood (ML) estimators and the computational difficulties in solving the ML equations are discussed. The theoretical issues concerning this are discussed using a data set from dental epidemiological study.
zero inflated distributions, regression model, maximum likelihood estimators, optimal equations, dental epidemiology
Sumathi K, firstname.lastname@example.org
Aruna Rao K, email@example.com
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