Improved Ratio-type Exponential Estimator for Estimating Population Mean in Ranked Set Sampling

In this paper we propose a ratio-type exponential estimator for estimating population mean of the study variable under Ranked set sampling when auxiliary information is known. The bias and Mean square error of the proposed estimator has been derived up to the first degree of approximation. A simulat...

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Published in:Journal of the Indian Society of Agricultural Statistics 2024-09, Vol.78 (2), p.135-141
Main Authors: Sahoo, Nirupama, Jhankar, Sananda Kumar
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Jhankar, Sananda Kumar
description In this paper we propose a ratio-type exponential estimator for estimating population mean of the study variable under Ranked set sampling when auxiliary information is known. The bias and Mean square error of the proposed estimator has been derived up to the first degree of approximation. A simulation study has been carried out to judge the performance of the newly proposed estimator along with existing estimators. It is obtained that the proposed estimator is more efficient as compared to the competing estimators.
doi_str_mv 10.56093/jisas.v78i2.7
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title Improved Ratio-type Exponential Estimator for Estimating Population Mean in Ranked Set Sampling
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