A new sampling method for estimating the population mean

被引：21

作者：

Al-Omari, Amer Ibrahim ^{[1
]}

Haq, Abdul ^{[2
]}

机构：

[1] Al al Bayt Univ, Dept Math, Fac Sci, Mafraq, Jordan

[2] Quaid I Azam Univ, Dept Stat, Islamabad, Pakistan

来源：

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION | 2019年 / 89卷 / 11期

关键词：

Simple random sampling; ranked set sampling; L ranked set sampling; double L ranked set sampling; efficiency;

D O I：

10.1080/00949655.2019.1604710

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A double L ranked set sampling (DLRSS) method is suggested for estimating the population mean. The DLRSS is compared with the simple random sampling (SRS), ranked set sampling (RSS) and L ranked set sampling (LRSS) methods based on the same number of measured units. The conditions for which the suggested estimator performs better than the other estimators are derived. It is found that, the suggested DLRSS estimator is an unbiased of the population mean, and is more efficient than its counterparts using SRS, RSS, and LRSS methods. Real data sets are used for illustration.

引用

页码：1973 / 1985

页数：13

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