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A New Median Based Ratio Estimator for Estimation of the Finite Population Mean

Author

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  • Subramani J.

    (Department of Statistics, Pondicherry University, R. V. Nagar, Kalapet, Puducherry, India)

Abstract

The present paper deals with a new median based ratio estimator for the estimation of finite population means in the absence of an auxiliary variable. The bias and mean squared error of the proposed median based ratio estimator are obtained. The performance of the median based ratio estimator is compared with that of the SRSWOR sample mean, ratio estimator and linear regression estimator for certain natural population. It is shown from the numerical comparisons that the proposed median based ratio estimator outperforms the SRSWOR sample mean, ratio estimator and also the linear regression estimator.

Suggested Citation

  • Subramani J., 2016. "A New Median Based Ratio Estimator for Estimation of the Finite Population Mean," Statistics in Transition New Series, Polish Statistical Association, vol. 17(4), pages 591-604, December.
    • Handle: RePEc:vrs:stintr:v:17:y:2016:i:4:p:591-604:n:10
    DOI: 10.21307/stattrans-2016-042
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    References listed on IDEAS

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    1. G. Kumarapandiyan & J. Subramani, 2013. "Estimation of finite population mean using deciles of an auxiliary variable," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 14(1), pages 75-88, March.
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    1. J. Subramani, 2016. "A New Median Based Ratio Estimator For Estimation Of The Finite Population Mean," Statistics in Transition New Series, Polish Statistical Association, vol. 17(4), pages 591-604, December.

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