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A modified ratio-cum-product estimator of finite population mean using ranked set sampling

Author

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  • Nitu Mehta (Ranka)
  • V. L. Mandowara

Abstract

This paper proposed a modified ratio-cum-product estimator of finite population mean using information on coefficient of variation and coefficient of kurtosis of auxiliary variable in ranked set sampling. It has been shown that this method is highly beneficial to the estimation based on simple random sampling (SRS). The bias and mean squared error of the proposed estimators with large sample approximation are derived. Theoretically, it is shown that the suggested estimators are more efficient than the estimators in SRS. In addition, we support this theoretical result with the numerical illustration.

Suggested Citation

  • Nitu Mehta (Ranka) & V. L. Mandowara, 2016. "A modified ratio-cum-product estimator of finite population mean using ranked set sampling," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 45(2), pages 267-276, January.
    • Handle: RePEc:taf:lstaxx:v:45:y:2016:i:2:p:267-276
    DOI: 10.1080/03610926.2013.830748
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    Cited by:

    1. Shashi Bhushan & Anoop Kumar & Sana Shahab & Showkat Ahmad Lone & Salemah A. Almutlak, 2022. "Modified Class of Estimators Using Ranked Set Sampling," Mathematics, MDPI, vol. 10(21), pages 1-13, October.
    2. Shashi Bhushan & Anoop Kumar, 2022. "Novel Log Type Class Of Estimators Under Ranked Set Sampling," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(1), pages 421-447, May.

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