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Partial stratified ranked set sampling scheme for estimation of population mean and median

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Listed:
  • Maria M
  • Ibrahim M Almanjahie
  • Muhammad Ismail
  • Ammara Nawaz Cheema

Abstract

Ranked set sampling is an alternative to simple random sampling, which uses the least amount of money and time. The ranked set sampling (RSS) is modified to obtain a more efficient and cost-effective estimator of population parameters. This paper aims to bring a more efficient and cost-effective design than stratified ranked set sampling and simple random sampling. In some distributions, the suggested method used fewer sample units than stratified ranked set sampling and gives a more efficient estimation of population parameters. In symmetric distributions, the proposed design, called "partial stratified ranked set sampling" yields an unbiased estimator of the population mean. The design is illustrated with practical data of COVID-19 confirmed cases.

Suggested Citation

  • Maria M & Ibrahim M Almanjahie & Muhammad Ismail & Ammara Nawaz Cheema, 2023. "Partial stratified ranked set sampling scheme for estimation of population mean and median," PLOS ONE, Public Library of Science, vol. 18(2), pages 1-10, February.
    • Handle: RePEc:plo:pone00:0275340
    DOI: 10.1371/journal.pone.0275340
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    References listed on IDEAS

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    1. Mahdi Salehi & Jafar Ahmadi, 2014. "Record ranked set sampling scheme," METRON, Springer;Sapienza Università di Roma, vol. 72(3), pages 351-365, October.
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    Cited by:

    1. Kanwal Iqbal & Syed Muhammad Muslim Raza & Tahir Mahmood & Muhammad Riaz, 2024. "Exploring mixture estimators in stratified random sampling," PLOS ONE, Public Library of Science, vol. 19(9), pages 1-21, September.

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