Estimating the Population Median using Multistage Median Ranked Set Sampling

Samuh, Monjed H.; Qtait, Areen

dc.contributor.author	Samuh, Monjed H.
dc.contributor.author	Qtait, Areen
dc.date.accessioned	2020-11-25T08:05:44Z
dc.date.accessioned	2022-05-22T08:52:29Z
dc.date.available	2020-11-25T08:05:44Z
dc.date.available	2022-05-22T08:52:29Z
dc.date.issued	2020-04-01
dc.identifier.citation	Samuh, 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.uri	http://localhost:8080/xmlui/handle/123456789/8115
dc.description.abstract	In 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.language.iso	en	en_US
dc.publisher	Journal of Applied Probability and Statistics	en_US
dc.subject	Median estimation, ranked set sampling, relative efficiency, simple random sampling.	en_US
dc.title	Estimating the Population Median using Multistage Median Ranked Set Sampling	en_US
dc.type	Article	en_US