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Calibration estimation of population mean in stratified sampling using standard deviation

Author

Listed:
  • Oluwagbenga T. Babatunde

    (University of Nigeria)

  • Abimibola V. Oladugba

    (University of Nigeria)

  • Ifeoma O. Ude

    (University of Nigeria)

  • Ayodeji S. Adubi

    (University of Nigeria)

Abstract

In this paper, a new improved calibration estimator for estimating the population mean in the stratified random sampling using standard deviation of the auxiliary variable is proposed. A simulation study was conducted to assess the performance of the estimators in symmetric and skewed populations using absolute relative bias, mean square error and percentage relative efficiency. The results showed that the proposed estimator is more efficient compared to the existing estimators considered in this work.

Suggested Citation

  • Oluwagbenga T. Babatunde & Abimibola V. Oladugba & Ifeoma O. Ude & Ayodeji S. Adubi, 2024. "Calibration estimation of population mean in stratified sampling using standard deviation," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(3), pages 2125-2141, June.
    • Handle: RePEc:spr:qualqt:v:58:y:2024:i:3:d:10.1007_s11135-023-01737-1
    DOI: 10.1007/s11135-023-01737-1
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    References listed on IDEAS

    as
    1. Kim, Jong-Min & Sungur, Engin A. & Heo, Tae-Young, 2007. "Calibration approach estimators in stratified sampling," Statistics & Probability Letters, Elsevier, vol. 77(1), pages 99-103, January.
    2. Nidhi & B. V. S. Sisodia & Subedar Singh & Sanjay K. Singh, 2017. "Calibration approach estimation of the mean in stratified sampling and stratified double sampling," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(10), pages 4932-4942, May.
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