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).

引用

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页码：2835 / 2847

页数：13

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