[en] In this note we will show how circular statistics allow a more accurate and better analysis of several biological and biomedical data sets for which the classical statistical tools may lead to wrong conclusions.
Disciplines :
Physique, chimie, mathématiques & sciences de la terre: Multidisciplinaire, généralités & autres
Auteur, co-auteur :
Domien, Craens
LEY, Christophe ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Mathematics (DMATH)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Analysis of biological and biomedical data with circular statistics
