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Hartley-Ross Type Unbiased Estimators Using Ranked Set Sampling and Stratified Ranked Set Sampling

Authors
  • Lakhkar Khan (Quaid-i-Azam university, Islamabad, Pakistan)
  • Javid Shabbir (Quaid-i-Azam University, Islamabad, Pakistan)

Abstract

This paper proposes several Hartley-Ross (HR) type unbiased estimators of the finite population mean using information on known population parameters of the auxiliary variable in ranked set sampling (RSS) and stratified ranked set sampling (StRSS). The variances of the proposed HR unbiased ratio-type estimators are obtained to first degree of approximation. In simulation study the proposed estimators are more efficient as compared to all other competitor estimators.

Keywords: Ratio estimators, ranked set sampling, stratified ranked set sampling, efficiency

How to Cite:

Khan, L. & Shabbir, J., (2016) “Hartley-Ross Type Unbiased Estimators Using Ranked Set Sampling and Stratified Ranked Set Sampling”, North Carolina Journal of Mathematics and Statistics 2(1).

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Published on
2016-02-29

Peer Reviewed

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