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http://dx.doi.org/10.5351/KJAS.2017.30.6.931

Nonparametric method using linear placement statistics in randomized block design with replications  

Kim, Aran (Department of Biomedicine.Health Science, The Catholic University of Korea)
Kim, Dongjae (Department of Biomedicine.Health Science, The Catholic University of Korea)
Publication Information
The Korean Journal of Applied Statistics / v.30, no.6, 2017 , pp. 931-941 More about this Journal
Abstract
Typical Nonparametric methods for randomized block design with replications are two methods proposed by Mack (1981) and Mack and Skillings (1980). This method is likely to cause information loss because it uses the average of repeated observations instead of each repeated observation in the processing of each block. In order to compensate for this, we proposed a test method using linear placement statistics, which is a score function applied to the joint placement method proposed by Chung and Kim (2007). Monte Carlo simulation study is adapted to compare the power with previous methods.
Keywords
randomized block design with replications; linear placement statistics; norparametric methods;
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Times Cited By KSCI : 3  (Citation Analysis)
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