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Power analysis for $2{\times}2$ factorial in randomized complete block design  

Choi, Young-Hun (Department of Information and Statistics, Hanshin University)
Publication Information
Journal of the Korean Data and Information Science Society / v.22, no.2, 2011 , pp. 245-253 More about this Journal
Abstract
Powers of rank transformed statistic for testing main effects and interaction effects for $2{\times}2$ factorial design in randomized complete block design are very superior to powers of parametric statistic without regard to the block size, composition method of effects and the type of population distributions such as exponential, double exponential, normal and uniform. $2{\times}2$ factorial design in RCBD increases error effects and decreases powers of parametric statistic which results in conservativeness. However powers of rank transformed statistic maintain relative preference. In general powers of rank transformed statistic show relative preference over those of parametric statistic with small block size and big effect size.
Keywords
$2{\times}2$ factorial in RCBD; conservative; power; rank transformed statistic;
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Times Cited By KSCI : 6  (Citation Analysis)
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