Journal of Statistical Theory and Practice

, Volume 4, Issue 4, pp 589–608 | Cite as

Two-level Supersaturated Designs: A Review

  • Basudev KoleEmail author
  • Jyoti Gangwani
  • V. K. Gupta
  • Rajender Parsad


Supersaturated Designs (SSDs) are fractional factorial designs in which the run size is not enough to estimate the main effects of all the factors in the experiment. Two-level SSDs have been studied extensively in the literature. The thrust of research has been on obtaining lower bounds to the value of E(s2), a measure of departure from orthogonality, and constructing designs that attain these lower bounds. The focus of this paper is to review the literature on two-level SSDs.


SSD Optimality criteria Supersaturated design 

AMS Subject Classification

62K15 62K05 62K99 


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Copyright information

© Grace Scientific Publishing 2010

Authors and Affiliations

  • Basudev Kole
    • 1
    Email author
  • Jyoti Gangwani
    • 1
  • V. K. Gupta
    • 1
  • Rajender Parsad
    • 1
  1. 1.Library AvenueIndian Agricultural Statistics Research InstitutePusa, New DelhiIndia

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