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Orthogonal main-effect plans in row–column designs for two-level factorial experiments

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  • P. C. Wang

Abstract

Row–column designs for two-level factorial experiments are constructed to estimate all the main effects. We give the interactions for row and column blockings. Based on these blockings, independent treatment combinations are proposed to establish the whole design so that practitioners can easily apply it to their experiments. Some examples are given for illustrations. The estimation of two-factor interactions in these designs is discussed.

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  • P. C. Wang, 2017. "Orthogonal main-effect plans in row–column designs for two-level factorial experiments," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(21), pages 10685-10691, November.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:21:p:10685-10691
    DOI: 10.1080/03610926.2016.1242743
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