An Efficient Ratio-Cum-Product Estimator for Finite Population Mean

K.B. Panda¹ , P.P. Mohanty²

Section:Research Paper, Product Type: Journal-Paper
Vol.9 , Issue.2 , pp.1-6, Apr-2022

Online published on Apr 30, 2022

Copyright © K.B. Panda, P.P. Mohanty . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Use of auxiliary information in estimating population parameters with greater precision is a common practice in survey sampling literature. For example, ratio-cum-product estimator is the one which makes use of auxiliary information. Here, in this paper, ratio-cum-product method of estimation is carried forward with the introduction of a new estimator for finite population mean. The estimator, to first order of approximation, is found to be biased, but its mean square error is found to be less than that of the customary ratio-cum-product estimator under feasible condition. The performance of the estimator has been examined in double sampling. Empirical investigations have been carried out to demonstrate the superiority of the estimator.

Key-Words / Index Term :
Auxiliary variable, Ratio-cum-product estimator, Double sampling, Bias, Mean square error

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