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New approximate confidence intervals for the difference between two Poisson means and comparison

机译:两种Poisson均值之差的新的近似置信区间和比较

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摘要

The problem of estimating the difference between two Poisson means is considered. A new moment confidence interval (CI), and a fiducial CI for the difference between the means are proposed. The moment CI is simple to compute, and it specializes to the classical Wald CI when the sample sizes are equal. Numerical studies indicate that the moment CI offers improvement over the Wald CI when the sample sizes are different. Exact properties of the CIs based on the moment, fiducial and hybrid methods are evaluated numerically. Our numerical study indicates that the hybrid and fiducial CIs are in general comparable, and the moment CI seems to be the best when the expected total counts from both distributions are two or more. The interval estimation procedures are illustrated using two examples.
机译:考虑了估计两个泊松方法之间的差异的问题。提出了新的矩置信区间(CI)和均值之间差异的基准CI。 CI易于计算,并且当样本大小相等时,它专门用于经典Wald CI。数值研究表明,当样本大小不同时,CI矩比Wald CI矩有所改善。基于力矩,基准和混合方法对CI的确切属性进行了数值评估。我们的数值研究表明,混合CI和基准CI总体上可比,当两种分布的预期总计数为两个或更多时,CI似乎是最佳时刻。使用两个示例来说明间隔估计过程。

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