A Multiple-Comparisons Method Based on the Distribution of the Root Node Distance of a Binary Tree

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Springer-Verlag

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This articleproposesan easyto implementcluster-basedmethodforidentifyinggroups of nonhomogeneousmeans. The method overcomes the common problem of the classical multiple-comparisonmethods that lead to the construction of groups that often have substantialoverlap.In addition,it solves the problemof othercluster-basedmethodsthat do not havea known levelof signicanceand are not easy to apply.The new procedureis compared by simulation with a set of classical multiple-comparisonmethods and a cluster-basedone. Results show that the new procedure compares quite favorably with those included in this article.

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Investigación agrícola para el desarrollo||agricultural research for development||undefined||recherche agricole pour le développement, Cluster Analysis, Cluster-Based Multiple Comparision, Complexity index, Dendograms, Genotype evaluation, Sede Central, ODS 9 - Industria, innovación e infraestructura

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