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 language | English |
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Journal | Scandinavian Journal of Statistics |
DOIs | |
State | Accepted/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