Many researchers have discussed zero-inflated univariate distributions. These univariate models are not suitable, for modeling events that involve different types of counts or defects. To model several types of de-fects, multivariate Poisson model is one of the appropriate models. This can further be modified to incorpo-rate inflation at zero and we can have multivariate zero-inflated Poisson distribution. In the present article, we introduce a new Bivariate Zero Inflated Power Series Distribution and discuss inference related to the parameters involved in the model. We also discuss the inference related to Bivariate Zero Inflated Poisson Distribution. The model has been applied to a real life data. Extension to k-variate zero inflated power series distribution is also discussed.
CITATION STYLE
Krishna, P. M., & Tukaram, S. D. (2011). Bivariate Zero-Inflated Power Series Distribution. Applied Mathematics, 02(07), 824–829. https://doi.org/10.4236/am.2011.27110
Mendeley helps you to discover research relevant for your work.