Singh, A. orcid.org/0000-0001-8141-5782, Singh, S.P. and Davidov, O. (2025) Optimal designs for testing pairwise differences: A graph‐based game theoretic approach. Scandinavian Journal of Statistics, 52 (2). pp. 533-571. ISSN 0303-6898
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.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Keywords: | intersection union test; least favorable configuration; max–min design; multiple comparison; power; union intersection test |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) |
| Depositing User: | Symplectic Publications |
| Date Deposited: | 09 Jun 2025 10:29 |
| Last Modified: | 09 Jun 2025 10:29 |
| Status: | Published |
| Publisher: | Wiley |
| Identification Number: | 10.1111/sjos.12757 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:227567 |

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