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Open Access ·Peer-reviewed·ISSN (Online): 2169-0014·ISSN (Print): 0972-0510

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Open Access Research Article

Improved generalized exponential estimators in simple random sampling without replacement using some transformations

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pp. 1413–1431Vol. 27Issue 7October 2024DOI: 10.47974/JSMS-1224XML
Received:
08 Jan 2020
Published Online:
30 Nov 2024
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1224
Pages:
1413–1431

Abstract

This article suggests three generalized exponential estimators using an auxiliary variable for estimating population mean with some transformations. The mean squared error expressions are derived up to the first order approximation for comparing the efficiency of the proposed estimators with the existing estimators in literature. We compared the efficiency of the proposed estimators with the usual mean estimator, [2] ratio estimator, [1] ratio type exponential estimator, [15] and [9] usual regression estimator. It is found that our proposed estimators perform better than these existing estimators in the literature. Findings are empirically verified using three real data sets and a simulation study.

Keywords

Subject Classifications

62D05

References

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