Sample sizes for improved binomial confidence intervals

被引：28

作者：

Piegorsch, WW ^{[1
]}

机构：

[1] Univ S Carolina, Dept Stat, Columbia, SC 29208 USA

来源：

COMPUTATIONAL STATISTICS & DATA ANALYSIS | 2004年 / 46卷 / 02期

关键词：

Agresti-Coull interval; binomial probability; Jeffreys interval; sample size determination; score interval; Wald interval; Wilson interval;

D O I：

10.1016/j.csda.2003.10.002

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Sample size equations are reviewed for different types of confidence intervals on a binomial success probability. Based on recommendations for improved binomial confidence limits given by Brown et al. (Statist. Sci. 16 (2001) 101), the intervals expand upon or enhance the traditional Wald-type interval. Some useful sample size relations appear. (C) 2003 Elsevier B.V. All rights reserved.

引用

页码：309 / 316

页数：8

共 21 条

[1] Simple and effective confidence intervals for proportions and differences of proportions result from adding two successes and two failures [J].