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- W4384008631 abstract "This article introduces an upgraded family of dual estimators for the population mean of main variable using some known supplementary information. To construct the family of estimators, a suitable transformation on the study variable as well as auxiliary variable has been used. The sampling features of the proposed class of estimators have been studied up to first order under large sample approximation. Several existing estimators have been observed and found as particular members of the proposed family of estimators. The optimum values of the characterizing scalars of the suggested family of estimators are obtained through the method of maxima-minima. The least value of the Mean Squared Error (MSE) of the proposed class of estimators is also obtained for these optimal values of the characterizing constants. The proposed family of estimators is compared theoretically with the other competing estimators of population mean. To judge the performance of the suggested family of estimators over others, numerical illustration has also been given. The estimator with minimum MSE is recommended for practical utility in different areas of applications. The results show the suggested estimator performs better than the competing estimators, therefore it may be used in different applications." @default.
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- W4384008631 date "2024-02-01" @default.
- W4384008631 modified "2023-10-16" @default.
- W4384008631 title "Adroit family of estimators of population mean using known auxiliary parameters" @default.
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- W4384008631 doi "https://doi.org/10.1016/j.cam.2023.115455" @default.
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