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

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

Statistics in Transition New Series, 2016, vol. 17, issue 4, 591-604

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.

Keywords: bias; linear regression estimator; mean squared error; natural population; simple random sampling (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:17:y:2016:i:4:p:591-604:n:10

DOI: 10.21307/stattrans-2016-042

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