Zero-inflated Loss Count Models and Their Applications

Under many circumstances,loss count data appears to be both zero-inflated and long-tailed,and this will make the usual models such as Poisson regression models unsuitable to fit the data properly.The paper discusses some important zero-inflated models,including zero-inflated Poisson regression,zero-inflated Negative Binomial regression,zero-inflated Generalized Poisson regression,and zero-inflated Poisson Inverse Gaussian regression.The paper also applies these models to a practical data set.The result shows that zero-inflated models can significantly improve the goodness of fit when the actual data has the property of zero-inflation.