Exponential Ratio Class of Estimators of Finite Population Mean Using Deciles of an Auxiliary Variable

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Abstract: Practitioners of survey sampling have been working to reduce bias and increase efficiency in the estimation of finite population parameters. The present work aims at developing an exponential ratio class of finite population mean estimators with deciles of an auxiliary variable. Using the Taylor's series technique, the mean square error (MSE) of the developed estimators was obtained up to the first order of approximation. The study's suggested estimators outperform competing estimators, according to the findings of a numerical analysis that was done on them in comparison to the existing estimators that were taken into consideration.

International Journal of Applied Mathematics, Computational Science and Systems Engineering, E-ISSN: 2766-9823, Volume 6, 2024, Art. #14

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Awwal Adejumobi, Mojeed Abiodun Yunusa, Kabiru Abubakar, Abdulrahman Rashida, "Exponential Ratio Class of Estimators of Finite Population Mean Using Deciles of an Auxiliary Variable," International Journal of Applied Mathematics, Computational Science and Systems Engineering, vol. 6, pp. 160-172, 2024, DOI:10.37394/232026.2024.6.14
Awwal Adejumobi, Mojeed Abiodun Yunusa, Kabiru Abubakar, Abdulrahman Rashida. Exponential Ratio Class of Estimators of Finite Population Mean Using Deciles of an Auxiliary Variable. International Journal of Applied Mathematics, Computational Science and Systems Engineering. 2024;6:160-172. 10.37394/232026.2024.6.14
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