On interval estimation of the population mean in ranked set sampling

被引：8

作者：

Mahdizadeh, M. ^{[1
]}

Zamanzade, Ehsan ^{[2
]}

机构：

[1] Hakim Sabzevari Univ, Dept Stat, Sabzevar, Iran

[2] Univ Isfahan, Dept Stat, Esfahan, Iran

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2022年 / 51卷 / 05期

关键词：

Asymptotic theory; Judgment ranking; Mean estimation; Resampling methods; PROPORTION; INFERENCE;

D O I：

10.1080/03610918.2019.1700276

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：

This article studies interval estimation of the population mean in ranked set sampling. Eight types of confidence intervals are considered which are based on asymptotic theory, resampling methods, or a combination of them. A comprehensive simulation study is conducted to investigate performance of these intervals, and to deal with some limitations of a relevant work in the literature. Lastly, a data example is presented to illustrate the procedures.

引用

页码：2747 / 2768

页数：22

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