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

Dr. Sanjib Choudhury; B. K. Singh

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

Dr. Sanjib Choudhury * § M.Sc., M. Phil

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B. K. Singh

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§ North Eastern Regional Institute of Science and Tech...

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

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Abstract

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.

References

14 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Choudhury, B. Singh. 2012. "An Efficient Class of Dual to Product-Cum- Dual to Ratio Estimators of Finite Population Mean in Sample Surveys". Global Journal of Science Frontier Research, Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 12 (GJSFR Volume 12 Issue F3).

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GJSFR Volume 12 Issue F3

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

Auxiliary variate Dual to product-cum-dual to ratio estimator efficiency Finite population mean Mean square error

Classification

GJSFR-F Classification MSC 2010: 62D05

Submission ReceivedNovember 27, 2011
Peer Review Double Blind
Handling Editor
Accepted December 27, 2011
Published January 6, 2012

Version of record

v1.2

Issue date

April 10, 2012

Language

English

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Article Matrices

Total Score: 151

Country: India

Subject: Global Journal of Science Frontier Research

Authors: Dr. Sanjib Choudhury , B. K. Singh (PhD/Dr. count: 1)

View Count (all-time): 251

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Publish Date: 2012 01, Fri

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