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- W2158970388 abstract "In this paper we provide a more efficient nonparametric test of symmetry based on the empirical overlap coefficient using kernel density estimation applied to an extreme order statistics, namely extreme ranked set sampling. Our simulation investigation reveals that our proposed test of symmetry is at least as powerful as currently available tests of symmetry. Intensive simulation is conducted to examine the power of the proposed test. An illustration is provided using cardiac output and body weight of neonates in a neonatal intensive care unit." @default.
- W2158970388 created "2016-06-24" @default.
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- W2158970388 date "2014-12-16" @default.
- W2158970388 modified "2023-09-25" @default.
- W2158970388 title "A More Efficient Nonparametric Test of Symmetry Based on Overlapping Coefficient" @default.
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- W2158970388 doi "https://doi.org/10.15406/bbij.2014.01.00015" @default.
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