New non-isomorphic detection methods for orthogonal designs

Xiao Ke*, Kai Tai Fang, A. M. Elsawah, Yuxuan Lin

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

5 Citations (Scopus)

Abstract

Two fractional factorial designs are called isomorphic if one can be obtained from the other by relabeling the factors, reordering the runs and switching the levels of factors. Given a set of all orthogonal designs (ODs) with n runs, q levels and s factors, it may have several non-isomorphic subclasses. Once a new OD with this design size is generated, it is interesting to know which subclass it belongs to. In this paper, we review several existing methods, which can classify newly generated ODs to the correct non-isomorphic subclass. We also propose two new non-isomorphic detection methods. They can be utilized for the design classification purpose and take some advantages over the existing methods in terms of computation efficiency and classification capability.

Original languageEnglish
Pages (from-to)27-42
Number of pages16
JournalCommunications in Statistics: Simulation and Computation
Volume52
Issue number1
Early online date1 Dec 2020
DOIs
Publication statusPublished - 2 Jan 2023

User-Defined Keywords

  • Hamming distance
  • Isomorphism
  • Level permutation
  • Orthogonal design
  • Uniformity

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