Journal of Statistical Theory and Practice

, Volume 7, Issue 4, pp 774–782 | Cite as

Construction of Search Designs From Orthogonal Arrays

  • P. Angelopoulos
  • K. Chatterjee
  • C. KoukouvinosEmail author


Search designs form an important class of experimental designs that allow the identifying of the true model, consisting of a set of factorial effects, among many. Most of the work in this field has been made in the cases where there are at most one or two two-factor interaction effects considered nonnegligible. This article focuses on model identification through the use of search linear models containing, apart from the general mean and the main effects, up to five nonnegligible two-factor interaction effects. The new search designs are based exclusively on orthogonal arrays.


Orthogonal arrays Search designs Probability of correct searching 

AMS Subject Classification

Primary 62K15 Secondary 05B20 


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Copyright information

© Grace Scientific Publishing 2013

Authors and Affiliations

  • P. Angelopoulos
    • 1
  • K. Chatterjee
    • 2
  • C. Koukouvinos
    • 1
    Email author
  1. 1.Department of MathematicsNational Technical University of Athens, ZografouAthensGreece
  2. 2.Department of StatisticsVisva-Bharati UniversitySantiniketan, West BengalIndia

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