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A multiple-comparisons method based on the distribution of the root node distance of a binary tree

  • J. A. Di Rienzo
  • A. W. Guzman
  • F. Casanoves
Article

Abstract

This article proposesan easy to implement cluster-based method for identifying groups of nonhom ogeneous means. The method overcomes the common problem of the classical multiple-comparison methods that lead to the construction of groups that often have substantial overlap. In addition, it solves the problem of other cluster-based methods that do not have a known level of significance and are not easy to apply. The new procedure is compared by simulation with a set of classical multiple-comparison methods and a cluster-based one. Results show that the new procedure compares quite favorably with those included in this article.

Key Words

Cluster analysis Cluster-based multiple comparisons Complexity index Dendograms Genotype evaluation 

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Copyright information

© International Biometric Society 2002

Authors and Affiliations

  • J. A. Di Rienzo
    • 1
  • A. W. Guzman
    • 2
  • F. Casanoves
    • 1
  1. 1.Facultad de Ciencias AgropecuariasUniversidad Nacional de CordobaCordobaArgentina
  2. 2.Instituto de Matematica e EstadsticaUniversidad de Sao PauloSao PauloBrasil

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