An Efficient Class of Ratio-Cum-Dual to Product Estimator of Finite Population Mean in Sample Surveys

1
Dr. Sanjib Choudhury
Dr. Sanjib Choudhury M.Sc., M. Phil
2
Bhupendra Kumar Singh
Bhupendra Kumar Singh
1 North Eastern Regional Institute of Science and Technology

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We consider a class of ratio-cum-dual to product estimator for estimating a finite population mean of the study variate. The bias and mean square error of the proposed estimator have been obtained. The asymptotically optimum estimator (AOE) in this 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 estimator over the other estimators.

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No external funding was declared for this work.

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The authors declare no conflict of interest.

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Dr. Sanjib Choudhury. 2012. \u201cAn Efficient Class of Ratio-Cum-Dual to Product Estimator of Finite Population Mean in Sample Surveys\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 12 (GJSFR Volume 12 Issue F12): .

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GJSFR Volume 12 Issue F12
Pg. 1- 11
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Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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October 9, 2012

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English

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We consider a class of ratio-cum-dual to product estimator for estimating a finite population mean of the study variate. The bias and mean square error of the proposed estimator have been obtained. The asymptotically optimum estimator (AOE) in this 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 estimator over the other estimators.

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An Efficient Class of Ratio-Cum-Dual to Product Estimator of Finite Population Mean in Sample Surveys

Dr. Sanjib Choudhury
Dr. Sanjib Choudhury North Eastern Regional Institute of Science and Technology
Bhupendra Kumar Singh
Bhupendra Kumar Singh

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