Improved Estimators of Population Coefficient of Variation under Simple Random Sampling
Asian Journal of Probability and Statistics · pp. 22–36 · Published 3 Sep 2022
10.9734/ajpas/2022/v19i430474Abstract
In this article, we suggest some novel estimators of population Coefficient of Variation (CV) of the study variable using the known information on an auxiliary variable like population mean and population variance. Up to the first order of approximation, formulas for the bias and Mean squared Errors (MSE) of the proposed estimators are obtained. The efficiencies of proposed and competing estimators are evaluated by comparing their MSEs. A real and two simulated data sets are used to verify the efficiency conditions. The results showed that the proposed estimators were more efficient than the other existing estimators considered in the study.
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Cited by 3
Yusuf Ajibola Yahya, Ahmed Audu, Yunusa Mojeed Abiodun · Dutse Journal of Pure and Applied Sciences · 2024
Awwal Adejumobi, Mojeed Abiodun Yunusa, Abdulrahman Rashida · Journal of Technology Innovations and Energy · 2024
Showing 2 of 3 known citations — external sources report more than can currently be individually listed.
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