Excess Zeros in Count Models for Recreational Trips
针对休闲游船旅行计数数据中零值过多的问题，比较了多种泊松回归改进模型，发现负二项障碍模型能同时处理过度离散和过量零值，效果最佳。
This article develops a modeling approach for a count dataset for recreational boating trips that shows a frequency of zero counts significantly higher than that expected for Poisson-distributed data. We consider several parametric and semiparametric mixed and modified Poisson models as alternatives to the Poisson regression. The analysis suggests that the negative binomial hurdles model, which allows for overdispersion and also accommodates the presence of excess zeros, is the most satisfactory of all those considered