Some Improved Separate Estimators of Population Mean in Stratified Ranked Set Sampling

被引：0

作者：

Singh, Rajesh ^{[1
]}

Kumari, Anamika ^{[1
]}

机构：

[1] Banaras Hindu Univ, Dept Stat, Varanasi, India

来源：

STATISTICS AND APPLICATIONS | 2024年 / 22卷 / 01期

关键词：

Study variable; Auxiliary variable; Bias; Mean square error; Ranked set sampling; RATIO ESTIMATORS; FAMILY;

D O I：

暂无

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 paper presents improved population mean estimators using auxiliary variable in Stratified Ranked Set Sampling. We have derived the expressions for bias and mean square errors up to the first order of approximation and shown that the proposed estimators under optimum conditions are more efficient than other estimators taken in this paper. In an attempt to verify the efficiencies of proposed estimators, theoretical results are supported by empirical study and simulation study for which we have considered two populations.

引用

页码：21 / 37

页数：17

共 19 条

[11] Estimation of finite population mean in simple random sampling and stratified random sampling using two auxiliary variables [J].