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Research Article Open access CC BY 4.0

An Alternative Hybrid Estimator of Finite Population Mean in Simple Random Sampling

T. Uba, A. J. Ikughur, S. C. Nwaosu

Asian Journal of Probability and Statistics · pp. 276–298 · Published 21 Dec 2021

10.9734/ajpas/2021/v15i430379

Abstract

In this paper, we propose an alternative hybrid estimator of finite population mean in simple random sampling without replacement (SRSWOR). This proposed estimator is a modification of Rashid et al. [1] estimator. The expressions for the bias and Mean Square Error (MSE) of the estimator are derived. A comprehensive simulation study to show the efficacy of the estimator as compared to conventional estimators using Coefficient of Variation as a performance measure. The results are also supported with empirical illustrations using real life data which have shown that the proposed estimator was more efficient than almost all the existing estimators considered in this study.

Auxiliary variable hybrid estimators mean square error ratio estimators regression estimators.

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