Improved confidence intervals for a binomial parameter using the Bayesian method

被引：3
|
作者：
Lu, WS [1 ]
机构：
[1] Natl Univ Singapore, Dept Stat & Appl Probabil, Singapore 117543, Singapore
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2000年 / 29卷 / 12期
关键词：
Bayesian method; binomial distribution; confidence coefficient; confidence level; frequentist;
D O I：
10.1080/03610920008832639
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Constructing confidence intervals for a binomial proportion parameter using the Bayesian technique is considered. For an appropriate choice of priors, the proposed Bayes confidence intervals may, in frequentist performance, uniformly improve the traditional C-P (Clopper and Pearson, 1934) confidence intervals when the sample size is not large (n < 30).
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页码：2835 / 2847
页数：13
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