Abstract
Circular data arises in many areas of science, including astronomy, biology, physics, earth science and meteorology. In molecular biology, circular data emerges particularly in the study of macromolecules. One of the classical examples in this field is the Ramachandran map [595], which describes dihedral angles in the protein main chain.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Mardia, K.V., Frellsen, J. (2012). Statistics of Bivariate von Mises Distributions. In: Hamelryck, T., Mardia, K., Ferkinghoff-Borg, J. (eds) Bayesian Methods in Structural Bioinformatics. Statistics for Biology and Health. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27225-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-27225-7_6
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27224-0
Online ISBN: 978-3-642-27225-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)