Modified Class of Estimators Using Ranked Set Sampling

被引：5

作者：

Bhushan, Shashi ^{[1
]}

Kumar, Anoop ^{[2
]}

Shahab, Sana ^{[3
]}

Lone, Showkat Ahmad ^{[4
]}

Almutlak, Salemah A. ^{[4
]}

机构：

[1] Univ Lucknow, Dept Stat, Lucknow 226007, Uttar Pradesh, India

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

[3] Princess Nourah Bint Abdulrahman Univ, Coll Business Adm, Dept Business Adm, POB 84428, Riyadh 11671, Saudi Arabia

[4] Saudi Elect Univ, Coll Sci & Theoret Studies, Dept Basic Sci, Riyadh 11673, Saudi Arabia

来源：

MATHEMATICS | 2022年 / 10卷 / 21期

关键词：

modified class of estimators; ranked set sampling; efficiency; bias; mean square error; RATIO; REGRESSION;

D O I：

10.3390/math10213921

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

The present article discusses the issue of population mean estimation in the ranked set sampling framework. A modified class of estimators is proffered and compared in the aspect of its efficacious performance with all salient conventional estimators existing to date. Some well-known existing estimators under RSS are recognized as the members of the proffered estimators for appropriately chosen characterizing scalars. The ascendancy of the proposed class of estimators regarding the conventional estimators has been shown through an extensive computational study utilizing some natural and artificially generated populations.

引用

页数：13

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