Exact short Poisson confidence intervals

被引：16

作者：

Kabaila, P ^{[1
]}

Byrne, J ^{[1
]}

机构：

[1] La Trobe Univ, Dept Stat Sci, Melbourne, Vic, Australia

来源：

CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE | 2001年 / 29卷 / 01期

关键词：

confidence interval; discrete data; Poisson mean;

D O I：

10.2307/3316053

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：

The authors propose a new method for constructing a confidence interval for the expectation theta of a Poisson random variable. The interval they obtain cannot be shortened without the infimum over theta of the coverage probability falling below 1-alpha. in addition, the endpoints of the interval are strictly increasing functions of the observed variable. An easy-to-program algorithm is provided for computing this interval.

引用

页码：99 / 106

页数：8

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