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Generalized exponential chain ratio estimators under stratified two-phase random sampling.

Authors :
Sanaullah, Aamir
Ameer Ali, Humera
Noor ul Amin, Muhammad
Hanif, Muhammad
Source :
Applied Mathematics & Computation. Jan2014, Vol. 226, p541-547. 7p.
Publication Year :
2014

Abstract

Abstract: In this study, we have considered stratified two-phase sampling scheme for estimating the population mean of study variable taking auxiliary information. The proposed chain estimators are the exponential function of auxiliary variables. The mean square errors and biases equations have been obtained for the proposed estimators. Further, the proposed estimators are given in generalized form. The conditions for which proposed estimators are more efficient as compared to other estimators have been discussed. It is shown that the proposed estimators are more efficient as compared to the unbiased sample mean estimator, modified stratified two-phase ratio and product estimators. Empirical study has also been carried out to demonstrate the performance of proposed estimators. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
00963003
Volume :
226
Database :
Academic Search Index
Journal :
Applied Mathematics & Computation
Publication Type :
Academic Journal
Accession number :
93269610
Full Text :
https://doi.org/10.1016/j.amc.2013.10.088