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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/39173
Title: 
Bootstrap confidence regions for canonical variates: Application to studies of evolutionary differentiation
Author(s): 
Institution: 
  • Universidade Estadual de Campinas (UNICAMP)
  • Universidade Estadual Paulista (UNESP)
  • Stat Consultoria
  • Universidade Federal do Rio de Janeiro (UFRJ)
ISSN: 
0323-3847
Abstract: 
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.
Issue Date: 
1-Jan-1998
Citation: 
Biometrical Journal. Berlin: Akademie Verlag Gmbh, v. 40, n. 3, p. 327-339, 1998.
Time Duration: 
327-339
Publisher: 
Akademie Verlag Gmbh
Keywords: 
  • canonical variate analysis
  • parametric bootstrap
  • resampling
  • morphometrics
Source: 
http://dx.doi.org/10.1002/(SICI)1521-4036(199807)40:3<327
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/39173
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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