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Open Access Research Article

An unbiased efficient estimator of population mean using an auxiliary attribute in stratified random sampling

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pp. 629–647Vol. 28Issue 4May 2025DOI: 10.47974/JSMS-1295XML
Received:
10 Oct 2023
Published Online:
09 May 2025
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1295
Pages:
629–647

Abstract

In this present paper, an unbiased estimator of population mean is suggested by using an auxiliary attribute within stratified simple random sampling (SSRS), the variance of the estimator has been theoretically derived, considering a first-order approximation. When compared to other comparable existing estimators, the proposed one has the smallest mean square error. The simulation study is employed to the artificial generated populations to verify the theoretical findings.

Keywords

Subject Classifications

62D0562D99

References

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