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Vol. 11, Special Issue 2 (2022)

New neoteric ranked set sampling based variant of ranked set sampling

Author(s):
Ishfaq Ahmad Bhat, SA Mir, Imran Khan, SA Wani, Bhagyashree Dhekale and Syed Zameer Hussain
Abstract:
In this paper a new ranked set sampling scheme based of neoteric ranked set named as Neo-Centric ranked set sampling (NCRSS) is proposed for estimating the population mean. The mean under NCRSS were compared with its counterparts under SRS, RSS and DRSS and the results showed that the proposed estimators outperformed its counterparts. It was found that NCRSS produced unbiased and consistent estimators of population mean. A simulation study was conducted to compare the relative efficiency of NCRSS using 1000 simulations for normal, uniform, logistic and Poisson distribution. The results from both empirical and simulation study revealed that the proposed scheme outperforms its counterparts and efficiency is the increasing function of set size m.
Pages: 1508-1514  |  320 Views  67 Downloads
How to cite this article:
Ishfaq Ahmad Bhat, SA Mir, Imran Khan, SA Wani, Bhagyashree Dhekale and Syed Zameer Hussain. New neoteric ranked set sampling based variant of ranked set sampling. The Pharma Innovation Journal. 2022; 11(2S): 1508-1514.

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