global-journal-of-science-frontier-research-f-mathematics-decision Global Journal of Science Frontier Research - F: Mathematics & Decision 0975-5896 2249-4626 Global Journals Publishing Group Incorporated 73885 An Efficient Class of Dual to Product-Cum- Dual to Ratio Estimators of Finite Population Mean in Sample Surveys ChoudhuryDr. Sanjib SinghB. K. INDIA, North Eastern Regional Institute of Science and Technology 06 01 2012 12 F3 25 33

This paper considers a class of dual to product-cum-dual to ratio estimators for estimating finite population mean of the study variate using auxiliary variate. The bias and mean square error of the proposed estimator have been obtained. The asymptotically optimum estimator (AOE) in the class has also been identified along with its approximate bias and mean square error. Theoretical and empirical studies have been done to demonstrate the superiority of the proposed estimators over the other estimators.

 Finite population mean; Auxiliary variate; Dual to product-cum-dual to ratio estimator; Mean square error; Efficiency Full Text

This paper considers a class of dual to product-cum-dual to ratio estimators for estimating finite population mean of the study variate using auxiliary variate. The bias and mean square error of the proposed estimator have been obtained. The asymptotically optimum estimator (AOE) in the class has also been identified along with its approximate bias and mean square error. Theoretical and empirical studies have been done to demonstrate the superiority of the proposed estimators over the other estimators.