A General Ratio Type of Exponential Estimator for Estimating the Population Mean Under Simple Random Sampling Using the Information of Auxiliary Variable
Keywords:
Ratio Estimators, Population Mean, Auxiliary Variable, Simple Random SamplingAbstract
This paper presents a general ratio type of exponential estimator for estimating the population mean under simple random sampling without replacement (SRSWOR). The author has developed the estimator that proposed by Cochran (1977), Sisodia & Dwivedi (1981), Bahl & Tuteja (1991), Singh & Tailor (2003), Singh et al. (2004), and Yan & Tian (2010). In addition, some important properties of the suggested estimators such as Mean Squared Error (MSE) have been obtained. Furthermore, theoretical and empirical studies were used in order to access the performance of the suggested estimators. The results of this study show that the suggested estimators are more efficient under percent of relative efficiencies (PRE) criterion compared to other relevant estimators.
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References
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