University of Bahrain
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New Nonparametric Ranked Set Sampling

Show simple item record Bhoj , Dinesh S. 2018-08-01T05:35:19Z 2018-08-01T05:35:19Z 2016
dc.identifier.issn 2384-4795
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 *
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.volume 03
dc.issue 01
dc.source.title International Journal of Computational and Theoretical Statistics
dc.abbreviatedsourcetitle IJCTS

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