Estimating the Population Median using Multistage Median Ranked Set Sampling

dc.contributor.authorSamuh, Monjed H.
dc.contributor.authorQtait, Areen
dc.date.accessioned2020-11-25T08:05:44Z
dc.date.accessioned2022-05-22T08:52:29Z
dc.date.available2020-11-25T08:05:44Z
dc.date.available2022-05-22T08:52:29Z
dc.date.issued2020-04-01
dc.description.abstractIn this paper, multistage median ranked set sampling (MMRSS) is used for esti- mating the median of a distribution. Five estimators of the population median based on MMRSS are proposed. The performance of the new proposed estima- tors are compared with their conventional counterpart in simple random sampling. The comparison is carried out by a simulation study based on two measures of performance; bias and e ciency. Moreover, the impact of the set size, number of cycles, and the number of stages on the e ciency of the proposed estimators is studied.en_US
dc.identifier.citationSamuh, M. H., and Qtait, A. (2020). Estimating the Population Median using Multistage Median Ranked Set Sampling. Journal of Applied Probability and Statistics, 15(1):23-44.en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/8115
dc.language.isoenen_US
dc.publisherJournal of Applied Probability and Statisticsen_US
dc.subjectMedian estimation, ranked set sampling, relative efficiency, simple random sampling.en_US
dc.titleEstimating the Population Median using Multistage Median Ranked Set Samplingen_US
dc.typeArticleen_US

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