An alternative approach for multiple comparison problems when there are a large number of groups: ANOM technique

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dc.contributor.authorMendeş, M.
dc.contributor.authorYiğit, S.
dc.date.accessioned2025-01-27T19:02:57Z
dc.date.available2025-01-27T19:02:57Z
dc.date.issued2018
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractAnalysis of Means (ANOM) is a powerful tool for comparing means, variances, proportions and other location and scale measures. This procedure can also be used efficiently as a multiple comparison test especially when there are a large number of groups. A simulation study has been carried out to investigate the performance of ANOM as a multiple comparison approach. Total accuracy value was found at least 60.00% regardless of experimental conditions. ANOM and Tukey procedures have also been compared on a real data set where there are 80 different wheat varieties. It is concluded that the ANOM has a great advantage over Tukey test in terms of determining superior and worse varieties especially when there are more than 10 treatment groups. © 2018, Pakistan Agricultural Scientists Forum. All rights reserved.
dc.identifier.endpage1079
dc.identifier.issn1018-7081
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85051113052
dc.identifier.scopusqualityQ3
dc.identifier.startpage1074
dc.identifier.urihttps://hdl.handle.net/20.500.12428/13731
dc.identifier.volume28
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPakistan Agricultural Scientists Forum
dc.relation.ispartofJournal of Animal and Plant Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250125
dc.subjectANOM; Multiple comparisons; Sensitivity; Total accuracy
dc.titleAn alternative approach for multiple comparison problems when there are a large number of groups: ANOM technique
dc.typeArticle

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