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http://dx.doi.org/10.5351/KJAS.2016.29.7.1399

Nonparametric method in randomized block design for umbrella alternatives based on aligned method and placement  

Kim, Jeonghyun (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.29, no.7, 2016 , pp. 1399-1409 More about this Journal
Abstract
Nonparametric methods in randomized block design were suggested by Friedman (1937) for general alternatives and were also proposed by Page (1963) for ordered alternatives in one-way layout; in addition, K-sample rank tests for umbrella alternatives were suggested by Mack and Wolfe (1981). In this paper, we proposed a nonparametric method of umbrella alternatives for randomized block design using the aligned method proposed by Hodges and Lehmann (1962) to use block information and using placement suggested by Kim (1999). Monte Carlo simulation was also adapted to compare the power of the proposed procedure with previous methods.
Keywords
randomized block design; aligned method; placement; nonparametric method; umbrella alternatives;
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Times Cited By KSCI : 1  (Citation Analysis)
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