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Models for Axial Data

  • Barry C. Arnold
  • Ashis SenGupta
Chapter

Abstract

A variety of models have been proposed to accommodate data involving directional vectors in two-dimensions, with no identified start or end point. By convention such directions are represented by points in the interval (0,π). Data of this kind is called axial data. A survey of symmetric and asymmetric models for axial data is provided here. In addition, for certain models, parametric inference issues are addressed. In some cases, bivariate and multivariate extensions are readily envisioned.

Keywords

Environ Ecol Stat Cauchy Distribution Axial Distribution Axial Variable Circular Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Department of StatisticsUniversity of CaliforniaRiversideUSA

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