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On the improvement of paired ranked set sampling to estimate population mean

Author

Listed:
  • Rehman Syed Abdul

    (Balochistan University of Information Technology, Engineering and Management Sciences, Pakistan)

  • Shabbir Javid

    (Quaid-i-Azam University, Islamabad, Pakistan)

Abstract

In ecological and environmental sampling the quantification of units is either difficult or overly demanding in terms of the time, money, workload, it requires. For this reason efficient and cost-effective sampling methods need to be devised for data collecting. The most commonly used method for this purpose is the Ranked Set Sampling (RSS). In this paper, a sampling scheme called Improved Paired Ranked Set Sampling (IPRSS) is proposed to estimate the population mean. The performance of the proposed IPRSS is evaluated under perfect and imperfect rankings. A simulation study based on selected hypothetical distributions and a real-life data set showed that IPRSS is more precise than RSS, Paired RSS (PRSS) or Extreme RSS (ERSS).

Suggested Citation

  • Rehman Syed Abdul & Shabbir Javid, 2021. "On the improvement of paired ranked set sampling to estimate population mean," Statistics in Transition New Series, Polish Statistical Association, vol. 22(3), pages 193-205, September.
    • Handle: RePEc:vrs:stintr:v:22:y:2021:i:3:p:193-205:n:4
    DOI: 10.21307/stattrans-2021-034
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    References listed on IDEAS

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    1. Abdul Haq & Jennifer Brown & Elena Moltchanova & Amer Ibrahim Al‐Omari, 2013. "Partial ranked set sampling design," Environmetrics, John Wiley & Sons, Ltd., vol. 24(3), pages 201-207, May.
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