Ratio estimators for the finite population mean under simple random sampling and rank set sampling

Monika Saini () and Ashish Kumar
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Monika Saini: Manipal University Jaipur
Ashish Kumar: Manipal University Jaipur

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 2, No 23, 488-492

Abstract: Abstract This paper proposes ratio estimators for the population mean by using auxiliary information efficiently under simple random sampling (SRS) and rank set sampling (RSS). We obtain the bias and mean square error for the proposed estimators and show that the proposed estimator under RSS is more efficient than the estimator under SRS. The results have been illustrated numerically through simulation study.

Keywords: Finite population; Simple random sampling; Rank set sampling; Ratio estimator auxiliary variable; Study variable; Efficiency (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s13198-016-0454-y

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