Robust confidence intervals for a proportion using ranked-set sampling

被引：0
作者：
Jesse Frey
Yimin Zhang
机构：
[1] Villanova University,Department of Mathematics and Statistics
来源：
Journal of the Korean Statistical Society | 2021年 / 50卷
关键词：
Clopper–Pearson; Expected length; Imperfect rankings; Maximum likelihood estimation; Mid-; adjustment;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We develop two new approximate confidence interval methods for estimating a population proportion using balanced ranked-set sampling (RSS). Unlike existing RSS-based methods, the new methods control the coverage probability well not just under perfect rankings, but also under imperfect rankings. One method uses a Wilson-type interval, and the other is based on making a mid-P adjustment to a Clopper–Pearson-type interval. Both methods rely on a new maximum-likelihood-based method for estimating the proportions in the judgment strata when the overall proportion is given, and both can be computed even for large sample sizes.
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页码：1009 / 1028
页数：19
相关论文
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