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Bootstrap Confidence Regions for Canonical Variates: Application to Studies of Evolutionary Differentiation
Author(s) -
von Zuben F. J.,
Duarte L.C.,
Stangenhaus G.,
Pessôa L.M.,
dos Reis S.F.
Publication year - 1998
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/(sici)1521-4036(199807)40:3<327::aid-bimj327>3.0.co;2-j
Subject(s) - resampling , mathematics , statistics , random variate , subspecies , confidence interval , parametric statistics , canonical analysis , biology , random variable , ecology
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.