Isomorphism Check for \(2^{n}\) Factorial Designs with Randomization Restrictions

  • Neil A. Spencer
  • Pritam RanjanEmail author
  • Franklin Mendivil
Original Article
Part of the following topical collections:
  1. Algorithms, Analysis and Advanced Methodologies in the Design of Experiments


Factorial designs with randomization restrictions are often used in industrial experiments when a complete randomization of trials is impractical. In the statistics literature, the analysis, construction, and isomorphism of factorial designs have been extensively investigated. Much of the work has been on a case-by-case basis—addressing completely randomized designs, randomized block designs, split-plot designs, etc. separately. In this paper, we take a more unified approach, developing theoretical results and an efficient relabeling strategy to both construct and check the isomorphism of multistage factorial designs with randomization restrictions. The examples presented in this paper particularly focus on split-lot designs.


Finite projective geometry Multistage factorial designs Split-lot designs \((t-1)\)-Spread Stars 



Ranjan’s research was partially supported by the IIM Indore’s Grant for External Research Collaboration. Mendivil’s research was funded in part by NSERC 2012:238549.

Compliance with Ethical Standards

Conflicts of interest

The authors declare that they have no conflict of interest.


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Copyright information

© Grace Scientific Publishing 2019

Authors and Affiliations

  1. 1.Department of Statistics and Data ScienceCarnegie Mellon UniversityPittsburghUSA
  2. 2.Operations Management and Quantitative Techniques AreaIndian Institute of Management IndoreIndoreIndia
  3. 3.Department of Mathematics and StatisticsAcadia UniversityWolfvilleCanada

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