Classes of Population Mean Estimators using Transformed Variables in Double Sampling

Natthapat Thongsak; Nuanpan Lawson

doi:10.35378/gujs.1056453

journal article Dec 01, 2023

Classes of Population Mean Estimators using Transformed Variables in Double Sampling

Natthapat Thongsak

Nuanpan Lawson

Gazi University Journal of Science Vol. 36 No. 4 pp. 1834-1852 · Gazi University Journal of Science

View at Publisher Save 10.35378/gujs.1056453

Abstract

Transformation techniques have been used to increase the efficiency of estimators in sample surveys. In this paper, some classes of population mean estimators using transformation on an auxiliary variable and on both the auxiliary and study variables have been proposed under double sampling. The proposed estimators’ biases and mean square errors are approximated up to the first order. A simulation study and application to a rubber production dataset have been used to illustrate the proposed estimators’ performance. The results show that they perform much better than other existing estimators under given conditions.

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Citations

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References

Details

Published: Dec 01, 2023
Vol/Issue: 36(4)
Pages: 1834-1852

Authors

N

Natthapat Thongsak

King Mongkut’s University of Technology North Bangkok

N

Nuanpan Lawson

King Mongkut’s University of Technology North Bangkok

Funding

National Science, Research and Innovation Fund (NSRF), and King Mongkut’s University of Technology North Bangkok Award: KMUTNB-FF-65-28

Cite This Article

Natthapat Thongsak, Nuanpan Lawson (2023). Classes of Population Mean Estimators using Transformed Variables in Double Sampling. Gazi University Journal of Science, 36(4), 1834-1852. https://doi.org/10.35378/gujs.1056453

Classes of Population Mean Estimators using Transformed Variables in Double Sampling

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