Modified Clopper-Pearson Confidence Interval for Binomial Proportion

被引：0

作者：

Desale Habtzghi

Chand K. Midha

Ashish Das

机构：

[1] The University of Akron,

[2] Indian Institute of Technology Bombay,undefined

来源：

Journal of Statistical Theory and Applications | 2014年 / 13卷 / 4期

关键词：

Binomial proportion; Expected coverage probability; Coverage probability; Exact confidence interval; Logistic model; Primary 62F30; Secondary 62F03, 62G10, 62N03;

D O I：

10.2991/jsta.2014.13.4.3

中图分类号：

学科分类号：

摘要：

We introduce expected coverage probability as a measure for constructing confidence intervals for the binomial proportion, π. We propose a model based confidence interval for π using the expected coverage probabilities of the Clopper-Pearson interval. The method provides intervals comparable or better than the alternative intervals, such as the Wilson, Agresti-Coull and Jeffreys intervals.

引用

页码：296 / 310

页数：14

共 20 条

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