Generalized Class of Exponential Chain Ratio-cum-Chain Product Type Estimator for Finite Population Mean under Double Sampling Scheme in Presence of Non-Response

Generalized Class of Exponential Chain Ratio-cum-Chain Product Type Estimator for Finite Population Mean under Double Sampling Scheme in Presence of Non-Response

Yater Tato

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B.K. Singh

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North Eastern Regional Institute of Science and Technology

Generalized Class of Exponential Chain Ratio-cum-Chain Product Type Estimator for Finite Population Mean under Double Sampling Scheme in Presence of Non-Response

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Abstract

In this paper, a generalized class of exponential chain ratio-cum-chain product type estimator has been developed for estimating finite population mean and its properties have been studied in presence of non-response. The expressions for the bias and mean square error of the proposed estimator have been obtained in two different cases of non-response. The theoretical and empirical studies have been given to demonstrate the efficiency of the proposed estimator with respect to the other relevant estimators under consideration.

References

25 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Yater Tato. 2015. \u201cGeneralized Class of Exponential Chain Ratio-cum-Chain Product Type Estimator for Finite Population Mean under Double Sampling Scheme in Presence of Non-Response\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 15 (GJSFR Volume 15 Issue F7).

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GJSFR Volume 15 Issue F7

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

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Classification

GJSFR-F Classification 62D05

Submission ReceivedAugust 11, 2015
Peer Review Double Blind
Handling Editor
Accepted September 2, 2015
Published September 13, 2015

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v1.2

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September 24, 2015

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Science Frontier Research - F: Mathematics & Decision

Authors: Yater Tato, B.K. Singh (PhD/Dr. count: 0)

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