Abstract:
In this artikel the combination of ratio estimators and ratio regression in simple
random sampling using median and coefficient of skewness are discussed, which is
a review and an expansion from the article J. Subramani & G. Kumarapandiyan
[American Journal of Matematics and Statistics, 2(5): 101-107]. The estimators are
biased estimators and the 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 discusssion.