Optimal designs for testing pairwise differences: A graph-based game theoretic approach

Arpan Singh, Satya Prakash Singh, Ori Davidov

Research output: Contribution to journalArticlepeer-review

Abstract

In a variety of experimental settings there is an interest in comparing pairs–of–treatments. Such experiments usually address one of the following two scientific questions: (1) is there a difference within any of the selected pairs of treatments? or (2) is there a difference within all of the selected pairs of treatments? In this article, we propose max–min optimal designs for testing the above hypotheses using a graph-based game theoretic approach. Some of the max–min designs obtained are well known, but not recognized as optimal, others are novel and provide an improvement over naive designs.

Original languageEnglish
JournalScandinavian Journal of Statistics
DOIs
StateAccepted/In press - 2024

Bibliographical note

Publisher Copyright:
© 2024 The Board of the Foundation of the Scandinavian Journal of Statistics.

Keywords

  • intersection union test
  • least favorable configuration
  • max–min design
  • multiple comparison
  • power
  • union intersection test

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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