dc.contributor.author | Bhoj , Dinesh S. | |
dc.date.accessioned | 2018-08-01T05:35:19Z | |
dc.date.available | 2018-08-01T05:35:19Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 2384-4795 | |
dc.identifier.uri | https://journal.uob.edu.bh:443/handle/123456789/2024 | |
dc.description.abstract | A new nonparametric ranked set sampling (NNRSS) procedure is proposed to estimate the mean of a population. The estimator based on NNRSS is compared with the estimators based on ranked set sampling (RSS) and median ranked set sampling (MRSS) procedures. It is shown that the relative precisions of the estimators based on NNRSS are higher than those based on RSS and MRSS schemes for unimodal symmetric distributions around the mean and the distributions with low skewness. | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of Bahrain | en_US |
dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
dc.subject | Laplace distribution | |
dc.subject | Logistic distribution | |
dc.subject | Mean square error | |
dc.subject | Median ranked set sampling | |
dc.subject | Normal distribution | |
dc.subject | Ranked set sampling | |
dc.subject | Relative precision | |
dc.subject | Skew distributions | |
dc.subject | Symmetric distribution | |
dc.title | New Nonparametric Ranked Set Sampling | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.12785/IJCTS/030103 | |
dc.volume | 03 | |
dc.issue | 01 | |
dc.source.title | International Journal of Computational and Theoretical Statistics | |
dc.abbreviatedsourcetitle | IJCTS |