On optimal classes of estimators under ranked set sampling

Shashi Bhushan and Anoop Kumar

Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 8, 2610-2639

Abstract: This paper proposes some optimal classes of estimators under ranked set sampling. We have acquainted some modifications of the difference and ratio type estimators under ranked set sampling, considered by various authors like Hansen et al., Srivastava, and Walsh in simple random sampling. We have demonstrated that the efficiency of the proposed optimal classes of estimators are always better than the other existing estimators. The theoretical results have been supported by a simulation study carried out over an artificially generated population.

Date: 2022
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DOI: 10.1080/03610926.2020.1777431

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