An efficient dual to ratio-cum-product estimator for the population mean in stratified random sampling

Rohini Yadav¹

1. Department of Statistics, Amity Institute of Applied Sciences (Amity University), Noida, India.

Section:Research Paper, Product Type: Isroset-Journal
Vol.5 , Issue.2 , pp.13-20, Apr-2018

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v5i2.1320

Online published on Apr 30, 2018

Copyright © Rohini Yadav . 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 :
his paper deals with the problem of estimating the population mean of the study variable y with the help of the auxiliary variables under stratified random sampling. The estimator of dual to ratio-cum-product estimator for the population mean of the study variable has been suggested. The properties of the suggested estimator have been studied under large sample approximation. It has been shown that the suggested estimator is more efficient than other considered estimators. To judge the merits of the proposed estimator, an empirical study is given in the support of the present study.

Key-Words / Index Term :
Study variable, auxiliary variable, stratified random sampling, dual to ratio estimator, dual to product estimator, bias and mean squared error

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