2021
DOI: 10.32604/cmc.2021.017510
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Assessing the Performance of Some Ranked Set Sampling Designs Using HybridApproach

Abstract: In this paper, a joint analysis consisting of goodness-of-fit tests and Markov chain Monte Carlo simulations are used to assess the performance of some ranked set sampling designs. The Markov chain Monte Carlo simulations are conducted when Bayesian methods with Jeffery's priors of the unknown parameters of Weibull distribution are used, while the goodness of fit analysis is conducted when the likelihood estimators are used and the corresponding empirical distributions are obtained. The ranked set sampling des… Show more

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Cited by 9 publications
(2 citation statements)
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References 21 publications
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“…Te study of stressstrength reliability in light of the ranked set sampling (RSS) technique has recently captured the interest of multiple writers due to its application in a variety of felds. Terefore, in our upcoming work, we want to address the problem of stress-strength estimation for a certain distribution in the class using the RSS method [26][27][28], and also, for applications of lifetime data [29][30][31].…”
Section: Discussionmentioning
confidence: 99%
“…Te study of stressstrength reliability in light of the ranked set sampling (RSS) technique has recently captured the interest of multiple writers due to its application in a variety of felds. Terefore, in our upcoming work, we want to address the problem of stress-strength estimation for a certain distribution in the class using the RSS method [26][27][28], and also, for applications of lifetime data [29][30][31].…”
Section: Discussionmentioning
confidence: 99%
“…For more information, see recent papers such as [64][65][66]. In this section, maximum likelihood (ML) and Bayesian using SRS and RSS have been discussed.…”
mentioning
confidence: 99%