Mendes, M.Yigit, S.2025-01-272025-01-2720181018-7081https://hdl.handle.net/20.500.12428/27568Analysis 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.eninfo:eu-repo/semantics/closedAccessANOMmultiple comparisonssensitivitytotal accuracyArticle28410741079Q3WOS:000441325100017