Review of some ratio estimators in stratified random sampling

Tolga Zaman, Serhat Yilmaz

Abstract


In this paper, some regression and mean ratio estimators, which suggested by using ancillary variable information in stratified random sampling in literature, and variances belonging to these estimators are investigated. Priority of estimators is explored by making paired comparisons of these estimators. As a result of the comparison, It is determined that combined regression estimator is more efficient than estimators developed by Kadılar-Çıngı. All these results are supported with application of an original real data.


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How to Cite this Article:

Tolga Zaman, Serhat Yilmaz, Review of some ratio estimators in stratified random sampling, Journal of Mathematical and Computational Science, Vol 7, No 2 (2017), 364-374

Copyright © 2017 Tolga Zaman, Serhat Yilmaz. 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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