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A Study on Effective Identification Method for Influential Main Effects and Interactions in the 2-level Factorial Designs  

Kim, Sang-Ik (Dept. of Applied Statistics, KonKuk University)
Publication Information
Journal of Korean Society for Quality Management / v.34, no.1, 2006 , pp. 27-33 More about this Journal
Abstract
In this paper, an effective method for identifying influential main effects and interactions in the 2-level factorial designs is suggested by exploiting the resolution V designs developed by Kim(1992). For analysis of such designs, we employ the Bayesian approach for easy and clear identification of influential effects in the half normal probability plot.
Keywords
Main Effects; Interactions; Half Normal Prabability Plot; Posterior Probability;
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