New Closed-Form of Ratio Type Exponential Estimator for Population Mean

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, Simple Random Sampling, Auxiliary Variable

Abstract

This paper aims to propose the new closed-form of ratio type exponential estimator for estimating population mean by developing the generalized chain ratio-ratio- type exponential estimator that proposed by Singh & Pal (2015) and Singh et al. (2016) under Simple Random Sampling Without Replacement (SRSWOR) scheme. In addition, the authors also have studied Mean Squared Error (MSE) and Minimum Mean Squared Error (MMSE) of new closed-form estimator. The new closed-form estimator is compared with the existing ratio estimators under MSE and Percent of Relative Efficiencies (PRE) criterions. The results of this paper shows that the proposed estimator performs better when compared to existing ratio estimators.

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References

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Published

2022-03-31

Issue

Section

Research Article