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http://dx.doi.org/10.7465/jkdi.2013.24.6.1401

Nonparametric method using placement in a randomized complete block design  

Sim, Sujin (Department of Biostatistics, The Catholic University of Korea)
Kim, Dongjae (Department of Biostatistics, The Catholic University of Korea)
Publication Information
Journal of the Korean Data and Information Science Society / v.24, no.6, 2013 , pp. 1401-1408 More about this Journal
Abstract
Kim and Kim (1992) proposed typical nonparametric method for umbrella alternative in randomized block design with replications. In this paper, We consider a test procedure for umbrella alternatives in a randomized block design using extension of the two sample placement tests described in Orban and Wolfe (1982) and treatment tests described in Kim (1999). We perform a Monte Carlo study to compare the empirical powers of the test statistics for underlying distributions.
Keywords
Nonparametric; placement; umbrella alternatives;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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