Analysis Methods for Unreplicated Factorial Experiments

  • P. Angelopoulos
  • C. Koukouvinos
  • A. Skountzou
Part of the Springer Optimization and Its Applications book series (SOIA, volume 71)


The analysis of unreplicated designs concentrates much of interest, since these designs enable us to estimate the factorial effects using contrasts, while no degrees of freedom are left to estimate the error variance, so conventional ANOVA techniques cannot be applied to detect the active effects. In this paper we review two effective methods (Angelopoulos and Koukouvinos, J. Appl. Statist 35:277–281, 2008; Angelopoulos et al., Qual. Reliab. Eng. Int 26:223–233, 2010) for the identification of active factors in unreplicated experiments. An illustrative example of the application of the two methods is presented, as also a comparative simulation study, revealing the effectiveness of the two methods.


Two-level factorial designs Unreplicated experiments Outliers Projective property Power 


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Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  1. 1.Department of MathematicsNational Technical University of AthensAthensGreece

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