Bootstrap confidence regions for canonical variates: Application to studies of evolutionary differentiation
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Data
1998-01-01
Autores
Von Zuben, F. J.
Duarte, L. C. [UNESP]
Stangenhaus, G.
Pessôa, L. M.
Dos Reis, S. F.
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Resumo
Theory recently developed to construct confidence regions based on the parametric bootstrap is applied to add inferential information to graphical displays of sample centroids in canonical variate analysis. Problems of morphometric differentiation among subspecies, and species are addressed using numerical resampling procedures.
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Palavras-chave
Canonical variate analysis, Morphometrics, Parametric bootstrap, Resampling
Como citar
Biometrical Journal, v. 40, n. 3, p. 327-339, 1998.