BOOTSTRAP ONE-SIDED CONFIDENCE-INTERVALS FOR THE LOG-NORMAL MEAN

被引：28

作者：

ANGUS, JE ^{[1
]}

机构：

[1] CLAREMONT GRAD SCH, DEPT MATH, CLAREMONT, CA 91711 USA

来源：

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES D-THE STATISTICIAN | 1994年 / 43卷 / 03期

关键词：

MAINTAINABILITY; NUISANCE PARAMETER; RESAMPLING;

D O I：

10.2307/2348575

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：

Boostrap procedures for computing lower and upper confidence limits for the mean of a log-normal distribution based on complete samples are presented. The procedures are based on an approximate pivotal statistic and are shown to yield confidence bounds that are often nearly equal to the optimal (uniformly most accurate unbiased) bounds that require complex numerical algorithms.

引用

页码：395 / 401

页数：7

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