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Comparison of Dual to Ratio-Cum-Product Estimators of Population Mean

Author Affiliations

  • 1Department of Statistics, Osmania University, Hyderabad, INDIA
  • 2Sri Venkateshwara Veterinary University Dairy Technology Program, Kamareddy, Nizamabad, INDIA

Res. J. Mathematical & Statistical Sci., Volume 1, Issue (10), Pages 5-12, November,12 (2013)

Abstract

In this paper, some dual to ratio-cum-product estimators of population mean using known parameters of auxiliary variables are considered. These estimators are computed and compared with respect to bias and mean squared error using a simulation study from the normal population. Coefficient of skewness and coefficient of kurtosis are also computed to have an idea about the sampling distribution of dual to ratio-cum-product estimators of population mean. Dual to ratio-cum-product estimators are more efficient than that of the mean per unit, classical ratio estimator and linear regression estimators and Choudhury and Singh (2012) estimator is more efficient estimator among the dual to ratio-cum-product estimators of population mean.

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