Mean estimation using an efficient class of estimators based on simple random sampling: Simulation and applications

被引：6

作者：

Kumar, Anoop ^{[1
]}

Siddiqui, Asra Sayeed ^{[2
]}

Sidahmed, Manahil ^{[3
]}

Hussam, Eslam ^{[4
,5
]}

Aljohani, Hassan M. ^{[6
]}

Almulhim, Fatimah A. ^{[7
]}

机构：

[1] Cent Univ Haryana, Dept Stat, Mahendergarh 123031, India

[2] Amity Univ, Amity Sch Appl Sci, Dept Stat, Lucknow 226028, Uttar Pradesh, India

[3] Univ Tabuk, Fac Sci, Dept Stat, Tabuk, Saudi Arabia

[4] Helwan Univ, Fac Sci, Cairo, Egypt

[5] Prince Sattam bin Abdulaziz Univ, Coll Business Adm Hawtat bani Tamim, Dept Accounting, Al Kharj, Saudi Arabia

[6] Taif Univ, Coll Sci, Dept Math & Stat, POB 11099, Taif 21944, Saudi Arabia

[7] Princess Nourah Bint Abdulrahman Univ, Coll Sci, Dept Math Sci, POBox 84428, Riyadh 11671, Saudi Arabia

来源：

ALEXANDRIA ENGINEERING JOURNAL | 2024年 / 91卷

关键词：

Efficiency; Simple random sampling; Population mean; Mean square error; AUXILIARY INFORMATION; RATIO;

D O I：

10.1016/j.aej.2024.02.003

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this article, we offer simple random sampling (SRS) based efficient class of estimators of population mean (Y) over bar utilizing additional information. The expression of the mean square error of the proposed class of estimators is deduced up to first degree approximation. The efficiency conditions are established which are enhanced numerically utilizing a simulation study consummated over symmetrical and asymmetrical populations. Real data sets are also utilized to exemplify the suggested estimators. The numerical findings are appeared rather acceptable demonstrating better advancement over the ordinary estimators.

引用

页码：197 / 203

页数：7

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