On Extended Neoteric Ranked Set Sampling Plan: Likelihood Function Derivation and Parameter Estimation

Fathy H. Riad, Mohamed A. Sabry, Ehab M. Almetwally, Ramy Aldallal, Randa Alharbi, Md. Moyazzem Hossain and M. M. El-Dessoky

Complexity, 2022, vol. 2022, 1-13

Abstract: The extended neoteric ranked set sampling (ENRSS) plan proposed by Taconeli and Cabral has proven to outperform many one stages and two stages ranked set sampling plans when estimating the mean and the variance for different populations. Therefore, in this paper, the likelihood function based on ENRSS is proposed and used for estimation of the parameters of the inverted Nadarajah–Haghighi distribution. An extensive Monte Carlo simulation study is conducted to assess the performance of the proposed likelihood function, and the efficiency of the estimated parameters based on ENRSS is compared with the well-known ranked set sampling (RSS) plan and some of its modifications. These modifications include the extended ranked set sampling (ERSS) plan and the neoteric ranked set sampling (NRSS) plan. The results as foreseeable were very satisfactory and gave similar results to Taconeli and Cabral’s 2019 results.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:1697481

DOI: 10.1155/2022/1697481

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