Poisson参数估计最小样本量的精确计算
Exact Computation of Minimum Sample size for Estimation of Poisson Parameters
摘要：
在本文中，我们发展了一种方法，用于精确确定最小样本量的泊松参数估计与规定的误差幅度和置信水平。通过将覆盖概率的无限多个评估减少到有限多个评估，使得精确计算成为可能。这样的减少是基于我们的发现，最小的覆盖概率相对于一个泊松参数有界的一个区间是在一个离散集的有限多个值。
英文摘要：
In this paper, we develop an approach for the exact determination of the minimum sample size for the estimation of a Poisson parameter with prescribed margin of error and confidence level. The exact computation is made possible by reducing infinite many evaluations of coverage probability to finite many evaluations. Such reduction is based on our discovery that the minimum of coverage probability with respect to a Poisson parameter bounded in an interval is attained at a discrete set of finite many values.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
