Models for truncated counts
研究截断样本中计数数据的最大似然回归估计方法，展示截断泊松和负二项分布的估计量，通过模拟说明忽略过度离散的偏差，并以阿拉斯加渔民休闲钓鱼次数为例进行实证分析。
Abstract This paper examines a class of maximum‐likelihood regression estimators for count data from truncated samples. Estimators for the truncated Poisson and negative binomial distributions are illustrated. Simulation results are given to illustrate the magnitude of the bias that may result from the failure to account for overdispersion in truncated samples. An empirical application based upon the number of recreational fishing trips taken by a sample of Alaskan fishermen is provided.