Testing Goodness of Fit for the Poisson Assumption When Observations are Not Identically Distributed
Testing Goodness of Fit for the Poisson Assumption When Observations are Not Identically Distributed
复制标题
当观测值分布不同时，测试泊松假设的拟合优度
DOI：
10.1080/01621459.1985.10478132
复制
发表时间：
1985
影响因子：
3.7
通讯作者：
B. Margolin
中科院分区：
文献类型：
--
作者：
B. J. Collings;B. Margolin
摘要研究了单向布局和原点回归情形下Poisson模型负二项偏离的检验问题。这些检验统计量的空分布和替代分布的近似。局部最优检验和文献中提出的检验在渐近相对效率方面进行了比较。包括小样本比较。
Abstract Tests for detecting negative binomial departures from a Poisson model are studied for the one-way-layout and regression-through-the-origin cases. Approximations to the null and alternative distributions of these test statistics are presented. Locally optimal tests and tests suggested in the literature are compared in terms of asymptotic relative efficiency. Small sample comparisons are included.