University of Bahrain
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New Median Ranked Set Sampling for Skew Distributions

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dc.contributor.author Dinesh S., Bhoj
dc.contributor.author Debashis, Kushary
dc.date.accessioned 2019-04-29T09:52:50Z
dc.date.available 2019-04-29T09:52:50Z
dc.date.issued 2019-05-01
dc.identifier.uri https://journal.uob.edu.bh:443/handle/123456789/3471
dc.description.abstract A new median ranked set sampling procedure for positively skew distributions (NMRSSS) is proposed and used to estimate population mean. The estimators based on the proposed scheme are compared with the estimators based on ranked set sampling (RSS), median ranked set sampling (MRSS) and new median ranked set sampling (NMRSS) procedures. It is shown that the relative precisions of the estimators based on NMRSSS are higher than the estimators based on RSS, MRSS and NMRSS procedures. en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Exponential distribution en_US
dc.subject Gamma distribution en_US
dc.subject Heavy right tail distribution en_US
dc.subject Lognormal distribution en_US
dc.subject Mean square error en_US
dc.subject New median ranked set sampling en_US
dc.subject Pareto distribution en_US
dc.subject Relative precision en_US
dc.subject Skew distributions en_US
dc.subject Weibull distribution en_US
dc.title New Median Ranked Set Sampling for Skew Distributions en_US
dc.identifier.doi http://dx.doi.org/10.12785/ijcts/060102
dc.volume Volume 6 en_US
dc.issue Issue 1 en_US
dc.contributor.authorcountry USA en_US
dc.contributor.authorcountry USA en_US
dc.contributor.authoraffiliation Department of Mathematical Sciences Rutgers University, Camden, NJ 08102, USA en_US
dc.contributor.authoraffiliation Department of Mathematical Sciences Rutgers University, Camden, NJ 08102, USA en_US
dc.source.title International Journal of Computational and Theoretical Statistics en_US
dc.abbreviatedsourcetitle IJCTS en_US


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