Some Improved Exponential Ratio Type Estimators in Presence of Auxiliary Attributes

B. Mahanty¹ , G. Mishra²

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.2 , pp.290-294, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v6i2.290294

Online published on Apr 30, 2019

Copyright © B. Mahanty, G. Mishra . 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 :
In this paper some improved exponential ratio type estimators of finite population mean have been suggested in presence of auxiliary attributes. For construction of estimator for population mean, we have used the technique of using a priori and a posteriori information on coefficient of variation and auxiliary attributes .The efficiencies of these estimators are compared with the existing estimators and among themselves with regard to biases and mean square errors both theoretically and numerically.

Key-Words / Index Term :
Auxiliary attributes, Population proportion, Simple random sampling, Exponential ratio type estimators, Bias, Mean square error, Percent relative bias, Efficiency

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