International Journal of Statistics and Applied Mathematics
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International Journal of Statistics and Applied Mathematics

2021, Vol. 6, Issue 3, Part B

Improving the efficiency of estimators of population mean in systematic sampling using inverse exponentiation


Author(s): Etebong P Clement, Effremfon D Ekpoese and Elisha J Inyang

Abstract: It is established that the ratio and product-type estimators discriminate between negatively and positively correlated populations for optimal efficiency performance. This paper introduces a new approach to estimation theory that produces a more precise and efficient ratio and product estimators that are substantially adaptable to both negatively and positively correlated populations. Analytical and numerical results showed that at optimal conditions the proposed ratio and product estimators have equal optimal efficiency with the classical regression estimator of population mean but are always more efficient than all existing related estimators under review.

Pages: 87-96 | Views: 73 | Downloads: 8

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How to cite this article:
Etebong P Clement, Effremfon D Ekpoese, Elisha J Inyang. Improving the efficiency of estimators of population mean in systematic sampling using inverse exponentiation. Int J Stat Appl Math 2021;6(3):87-96.
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