Open AccessAn Alternative Hybrid Estimator of Finite Population Mean in Simple Random Sampling
Author(s) -
T. Uba,
A. J. Ikughur,
S. C. Nwaosu
Publication year - 2021
Publication title -
asian journal of probability and statistics
Language(s) - English
Resource type - Journals
ISSN - 2582-0230
DOI - 10.9734/ajpas/2021/v15i430379
Subject(s) - estimator , mean squared error , simple random sample , mathematics , efficient estimator , bias of an estimator , minimum variance unbiased estimator , statistics , trimmed estimator , ratio estimator , minimum mean square error , invariant estimator , population mean , consistent estimator , population , minimax estimator , stein's unbiased risk estimate , demography , sociology
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.