Title: Upgraded family of estimators of population mean using known parameters of auxiliary and study variables
Authors: S.K. Yadav; Dinesh K. Sharma; Shanya Baghel
Addresses: Department of Statistics, Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow, India ' Department of Business, Management and Accounting, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA ' Department of Statistics, Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow, India
Abstract: This paper proposes an elevated family of estimators for the population mean of a primary variable using the known auxiliary information combined with the known median of the study variable under the simple random sampling scheme. Various existing estimators of population mean are the members of the proposed class. The bias and MSE of the proposed class are derived up to the first order of approximation. The minimum values of bias and MSE are obtained by optimising the characterising scalar. The bias and MSE of the suggested family have also been compared with that of existing estimators. Finally, we have suggested some new members of the proposed class, which are more efficient than the existing ones both theoretically and numerically. The empirical study has been done using R software for computing biases and the MSEs of the suggested and the competing estimators under the said sampling scheme.
Keywords: main variable; auxiliary variable; simple random sampling; bias; MSE.
International Journal of Mathematical Modelling and Numerical Optimisation, 2021 Vol.11 No.3, pp.252 - 274
Received: 25 Jul 2020
Accepted: 31 Aug 2020
Published online: 29 Jul 2021 *