Models for Axial Data

Barry C. Arnold () and Ashis SenGupta
Additional contact information
Barry C. Arnold: University of California, Department of Statistics

Chapter Chapter 1 in Advances in Directional and Linear Statistics, 2011, pp 1-9 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2628-9_1

Ordering information: This item can be ordered from
http://www.springer.com/9783790826289

DOI: 10.1007/978-3-7908-2628-9_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().