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

Mendes M., Yigit S.

JOURNAL OF ANIMAL AND PLANT SCIENCES, vol.28, no.4, pp.1074-1079, 2018 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 28 Issue: 4
  • Publication Date: 2018
  • Journal Name: JOURNAL OF ANIMAL AND PLANT SCIENCES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1074-1079
  • Çanakkale Onsekiz Mart University Affiliated: Yes

Abstract

Analysis 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.