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Testing for double complete symmetry
Mathematics Department (DM) and Centro de Matemática e Aplicações (CMA), Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal.
Linköping University, Department of Mathematics, Applied Mathematics. Linköping University, Faculty of Science & Engineering. (Matematisk statistik)ORCID iD: 0000-0001-9896-4438
2020 (English)In: Recent Developments in Multivariate and Random Matrix Analysis: Festschrift in Honour of Dietrich von Rosen / [ed] Thomas Holgersson, Martin Singull, Cham: Springer Cham , 2020, p. 17-39Chapter in book (Refereed)
Abstract [en]

In this paper the authors take an approach over the likelihood ratio test for double complete symmetry, which enables a particularly simple implementation of the test as well as a particularly adequate way towards obtaining very sharp approximations for the exact distribution of the test statistic. Numerical studies show the very good performance of the near-exact distributions derived, namely their very good performance for very small sample sizes and their asymptotic behavior for increasing numbers of variables involved.

Place, publisher, year, edition, pages
Cham: Springer Cham , 2020. p. 17-39
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Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:liu:diva-198559DOI: 10.1007/978-3-030-56773-6_2Scopus ID: 2-s2.0-85123203076Libris ID: gz44gq4kddqxw101ISBN: 9783030567729 (print)ISBN: 9783030567736 (electronic)OAI: oai:DiVA.org:liu-198559DiVA, id: diva2:1805507
Available from: 2023-10-17 Created: 2023-10-17 Last updated: 2023-11-21Bibliographically approved

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