Gatto, Riccardo; Jammalamadaka, S. Rao (2015). Directional statistics: introduction. In: StatsRef: Statistics Reference Online (pp. 1-8). Wiley 10.1002/9781118445112.stat00201.pub2
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In many of the natural and physical sciences, measurements are directions, either in two or three dimensions. The analysis of directional data relies on specific statistical models and procedures, which differ from the usual models and methodologies of Cartesian data. This chapter briefly introduces statistical models and inference for this type of data. The basic von Mises-Fisher distribution is introduced and nonparametric methods such as goodness-of-fit tests are presented. Further references are given for exploring related topics such as correlation and regression.
Item Type: |
Book Section (Encyclopedia Article) |
|---|---|
Division/Institute: |
08 Faculty of Science > Department of Mathematics and Statistics > Institute of Mathematical Statistics and Actuarial Science |
UniBE Contributor: |
Gatto, Riccardo |
Subjects: |
500 Science > 510 Mathematics |
Publisher: |
Wiley |
Language: |
English |
Submitter: |
Lutz Dümbgen |
Date Deposited: |
07 Apr 2016 10:51 |
Last Modified: |
05 Dec 2022 14:53 |
Publisher DOI: |
10.1002/9781118445112.stat00201.pub2 |
BORIS DOI: |
10.7892/boris.77834 |
URI: |
https://boris.unibe.ch/id/eprint/77834 |
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