November 30, 2020

Log-extended exponential-geometric parameters estimation using simple random sampling and moving extremes ranked set sampling

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Abstract

In this paper, estimation of parameters α and β for the log-extended exponential-geometric distribution will be respectively considered in cases when β is known and when both are unknown. Simple random sampling (SRS) and moving extremes ranked set sampling (MERSS) will be used, and several traditional estimators will be considered. The estimators using MERSS are compared to the corresponding ones using SRS. The numerical results show that the estimators using MERSS are significantly more efficient than the ones using SRS. A real data set is used for illustration.

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Yang et al. (Mon,) studied this question.

synapsesocial.com/papers/6a1743da5c24d7ef898d786d https://doi.org/https://doi.org/10.1080/03610918.2020.1853167

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