MODERATE DEVIATIONS FOR A NONPARAMETRIC ESTIMATOR OF SAMPLE COVERAGE

被引：11

作者：

Gao, Fuqing ^{[1
]}

机构：

[1] Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China

来源：

ANNALS OF STATISTICS | 2013年 / 41卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Sample coverage; moderate deviations; Good's estimator; RANDOM-VARIABLES; PROBABILITY; NUMBER;

D O I：

10.1214/13-AOS1091

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：

In this paper, we consider moderate deviations for Good's coverage estimator. The moderate deviation principle and the self-normalized moderate deviation principle for Good's coverage estimator are established. The results are also applied to the hypothesis testing problem and the confidence interval for the coverage.

引用

页码：641 / 669

页数：29

共 19 条

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