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Ratio estimators of the population mean with missing values using ranked set sampling

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  • A. I. Al‐Omari
  • C. N. Bouza

Abstract

The existence of missing observations (MO) is commonly solved by using imputation methods. There are ratio‐based methods for estimating the population mean, while using simple random sampling (SRS), when MO are present. Considering the existence of MO and using of ranked set sampling, we develop a study of the estimation of a population mean using ratio‐based methods. The mean square errors, bias, and gain in accuracy formulas of the suggested estimators are derived. The suggested estimators are compared with their SRS counterpart both theoretically and numerically. Copyright © 2014 John Wiley & Sons, Ltd.

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  • A. I. Al‐Omari & C. N. Bouza, 2015. "Ratio estimators of the population mean with missing values using ranked set sampling," Environmetrics, John Wiley & Sons, Ltd., vol. 26(2), pages 67-76, March.
    • Handle: RePEc:wly:envmet:v:26:y:2015:i:2:p:67-76
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    Cited by:

    1. Amer Ibrahim Al-Omari & SidAhmed Benchiha & Ibrahim M. Almanjahie, 2022. "Efficient Estimation of Two-Parameter Xgamma Distribution Parameters Using Ranked Set Sampling Design," Mathematics, MDPI, vol. 10(17), pages 1-18, September.

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