The multivariate analysis of variance as a powerful approach for circular data

HIGHLIGHTS

• who: Lukas Landler from the (UNIVERSITY) have published the article: The multivariate analysis of variance as a powerful approach for circular data, in the Journal: (JOURNAL)
• what: The authors demonstrate that a approach based on the sines and cosines of the circular is as powerful as the most-commonly used tests when testing deviation from a uniform distribution while additionally offering extension to multi-factorial modelling that these conventional circular statistical tests do not. The authors show that the intercept of the MANOVA models is a reliable proxy of unimodal clustering and that grouping factors . . .
  

   

  

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