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Calibration estimator of population mean under stratified ranked set sampling design

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  • Nursel Koyuncu

Abstract

Calibration method adjusts the original design weights to improve the estimates by using auxiliary information. In this article we have proposed new calibration estimators under stratified ranked set sampling design and derive the estimator of variance of calibration estimator. A simulation study is carried out to see the performance of proposed estimators.

Suggested Citation

  • Nursel Koyuncu, 2018. "Calibration estimator of population mean under stratified ranked set sampling design," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(23), pages 5845-5853, December.
    • Handle: RePEc:taf:lstaxx:v:47:y:2018:i:23:p:5845-5853
    DOI: 10.1080/03610926.2017.1402051
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    Cited by:

    1. Usman Shahzad & Ishfaq Ahmad & Fatimah Alshahrani & Ibrahim M. Almanjahie & Soofia Iftikhar, 2023. "Calibration-Based Mean Estimators under Stratified Median Ranked Set Sampling," Mathematics, MDPI, vol. 11(8), pages 1-21, April.
    2. Usman Shahzad & Ishfaq Ahmad & Amelia V. García-Luengo & Tolga Zaman & Nadia H. Al-Noor & Anoop Kumar, 2023. "Estimation of Coefficient of Variation Using Calibrated Estimators in Double Stratified Random Sampling," Mathematics, MDPI, vol. 11(1), pages 1-17, January.

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