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http://dx.doi.org/10.5351/KJAS.2014.27.1.061

Nonparametric Method for Ordered Alternative in Randomized Block Design  

Kang, Yuhyang (Department of Biostatistics, The Catholic University of Korea)
Kim, Dongjae (Department of Biostatistics, The Catholic University of Korea)
Publication Information
The Korean Journal of Applied Statistics / v.27, no.1, 2014 , pp. 61-70 More about this Journal
Abstract
A randomized block design is a method to apply a treatment into the experimental unit of each block after dividing into several blocks with a binded homogeneous experimental unit. Jonckheere (1964) and Terpstra (1952), Page (1963), Hollander (1967) proposed various methods of ordered alternative in randomized block design. Especially, Page (1963) test is a weighted combination of within block rank sums for ordered alternatives. In this paper, we suggest a new nonparametric method expanding the Page test for an ordered alternative. A Monte Carlo simulation study is also adapted to compare the power of the proposed methods with previous methods.
Keywords
Randomized block design; nonparametric; rank; ordered alternative;
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