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has been cited by the following article:

• TITLE: Zero Truncated Bivariate Poisson Model: Marginal-Conditional Modeling Approach with an Application to Traffic Accident Data

  AUTHORS: Rafiqul I. Chowdhury, M. Ataharul Islam

  KEYWORDS: Bivariate Poisson, Conditional Model, Generalized Linear Model, Marginal Model, Road Safety Data, Zero-Truncated

  JOURNAL NAME: Applied Mathematics, Vol.7 No.14, August 25, 2016

  ABSTRACT: A new covariate dependent zero-truncated bivariate Poisson model is proposed in this paper employing generalized linear model. A marginal-conditional approach is used to show the bivariate model. The proposed model with estimation procedure and tests for goodness-of-fit and under (or over) dispersion are shown and applied to road safety data. Two correlated outcome variables considered in this study are number of cars involved in an accident and number of casualties for given number of cars.