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Abstract

In this study, we adapted the families of estimators from Ãœnal and Kadilar (2021)  using the exponential function for the population mean in case of non-response for simple random sampling for the estimation of the mean of the population with the RSS (ranked set sampling) method. The equations for the MSE and the bias of the adapted estimators are obtained for RSS and it in theory shows that the proposed estimator is additional efficient than the present RSS mean estimators in the literature. In addition, we support these theoretical results with real COVID-19 real data and conjointly the simulation studies with different distributions and parameters. As a result of the study, it was observed that the efficiency of the proposed estimator was better than the other estimators.

Keywords

Exponential ratio estimator ranked set sampling mean square error efficiency

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How to Cite
Khalid, R., Koçyiğit, E. G., & Ünal, C. (2022). New Exponential Ratio Estimator in Ranked Set Sampling. Pakistan Journal of Statistics and Operation Research, 18(2), 403-409. https://doi.org/10.18187/pjsor.v18i2.3921
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