Restructured Class of Ratio Estimators for Estimating the Population Mean using the Information of Auxiliary Variable in Simple Random Sampling

Authors

  • Napattchan Dansawad Department of Applied Mathematics, Faculty of Science and Technology, Valaya Alongkorn Rajabhat University under the Royal Patronage, Pathum Thani https://orcid.org/0000-0002-4581-4118

Keywords:

Ratio Estimators, Population Mean, Mean Squared Error, Percent Relative Efficiencies, Auxiliary Variable

Abstract

This paper proposes restructured class of ratio estimators for estimating the population mean under simple random sampling without replacement (SRSWOR) scheme. In addition, the authors have studied some expressions of proposed estimator such as Mean Squared Error (MSE) and Minimu Mean Squared Error (MMSE). Furthermore, the values of MSE and Percent of Relative Efficiencies (PRE) have also been compared with the considered existing competing ratio estimators under several situation. The results of this study show that the proposed estimator performs better than the existing ratio estimators.

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References

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Published

2021-06-30

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Section

Research Article