Models for Axial Data
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.
KeywordsEnviron Ecol Stat Cauchy Distribution Axial Distribution Axial Variable Circular Data
Unable to display preview. Download preview PDF.
- 2.Arnold B, SenGupta A (2009) Flexible bivariate circular models. In: Advances in multivariate statistical methods. World Scientific, SingaporeGoogle Scholar