AN ALTERNATIVE APPROACH FOR MULTIPLE COMPARISON PROBLEMS WHEN THERE ARE A LARGE NUMBER OF GROUPS: ANOM TECHNIQUE

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dc.contributor.authorMendes, M.
dc.contributor.authorYigit, S.
dc.date.accessioned2025-01-27T21:04:09Z
dc.date.available2025-01-27T21:04:09Z
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.
dc.identifier.endpage1079
dc.identifier.issn1018-7081
dc.identifier.issue4
dc.identifier.startpage1074
dc.identifier.urihttps://hdl.handle.net/20.500.12428/27568
dc.identifier.volume28
dc.identifier.wosWOS:000441325100017
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherPakistan Agricultural Scientists Forum
dc.relation.ispartofJournal of Animal and Plant Sciences
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20250125
dc.subjectANOM
dc.subjectmultiple comparisons
dc.subjectsensitivity
dc.subjecttotal 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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