Modified Class of Estimators Using Ranked Set Sampling

Shashi Bhushan, Anoop Kumar (), Sana Shahab, Showkat Ahmad Lone and Salemah A. Almutlak
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Shashi Bhushan: Department of Statistics, University of Lucknow, Lucknow 226007, India
Anoop Kumar: Department of Statistics, Amity University, Lucknow 226028, India
Sana Shahab: Department of Business Administration, College of Business Administration, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
Showkat Ahmad Lone: Department of Basic Sciences, College of Science and Theoretical Studies, Saudi Electronic University, Riyadh 11673, Saudi Arabia
Salemah A. Almutlak: Department of Basic Sciences, College of Science and Theoretical Studies, Saudi Electronic University, Riyadh 11673, Saudi Arabia

Mathematics, 2022, vol. 10, issue 21, 1-13

Abstract: 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 R S S 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.

Keywords: modified class of estimators; ranked set sampling; efficiency; bias; mean square error (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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