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On Some Improved Class of Estimators by Using Stratified Ranked Set Sampling

Shashi Bhushan, Anoop Kumar (akumar15@vf.amity.edu), Usman Shahzad, Amer Ibrahim Al-Omari and Ibrahim Mufrah Almanjahie
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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
Usman Shahzad: Department of Mathematics & Statistics, International Islamic University, Islamabad 44000, Pakistan
Amer Ibrahim Al-Omari: Department of Mathematics, Al al-Bayt University, Mafraq 25113, Jordan
Ibrahim Mufrah Almanjahie: Department of Mathematics, College of Science, King Khalid University, Abha 62529, Saudi Arabia

Mathematics, 2022, vol. 10, issue 18, 1-32

Abstract: In this manuscript, we propose the combined and separate difference and ratio type estimators of population mean using stratified ranked set sampling. Additionally, several well-known estimators are identified as the sub-class of the suggested estimators. The characteristics of the suggested estimators have been analyzed and their effective performances are compared with the prominent estimators existing till date. Moreover, to prove the credibility of the theoretical findings, an extensive empirical study is administered over some real and hypothetically yielded symmetric and asymmetric populations.

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