A family of ratio estimators for population mean in extreme ranked set sampling using two auxiliary variables

被引：0

作者：

Haq, Abdul ^{[1
]}

Shabbir, Javid ^{[1
]}

机构：

[1] Quaid I Azam Univ, Islamabad 45320, Pakistan

来源：

SORT-STATISTICS AND OPERATIONS RESEARCH TRANSACTIONS | 2010年 / 34卷 / 01期

关键词：

Ratio estimator; ranked set sampling; extreme ranked set sampling;

D O I：

暂无

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

In this paper we have adopted the Khoshnevisan et al. (2007) family of estimators to extreme ranked set sampling (ERSS) using information on single and two auxiliary variables. Expressions for mean square error (MSE) of proposed estimators are derived to first order of approximation. Monte Carlo simulations and real data sets have been used to illustrate the method. The results indicate that the estimators under ERSS are more efficient as compared to estimators based on simple random sampling (SRS), when the underlying populations are symmetric.

引用

页码：45 / 64

页数：20

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