In this article the combination of ratio estimators and ratio-regression in simple random sampling using quartile deviation and coefficient of skewness are discussed, which is a review from the article Jeelani et.al. [International Journal of Modern Mathematical Sciences, 6(3): 174-183]. These estimators are biased estimators and their mean square errors are determined. Estimator with the smallest mean square error is the most efficient estimator. A numerical example is given at the end of discussion.
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