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Bootstrap and permutation tests in ANOVA for directional data

Title
Bootstrap and permutation tests in ANOVA for directional data
Type
Article in International Scientific Journal
Year
2017
Journal
Vol. 32
Pages: 1213-1240
ISSN: 0943-4062
Publisher: Springer Nature
Other information
Authenticus ID: P-00M-VW8
Abstract (EN): The problem of testing the null hypothesis of a common direction across several populations defined on the hypersphere arises frequently when we deal with directional data. We may consider the Analysis of Variance (ANOVA) for testing such hypotheses. However, for the Watson distribution, a commonly used distribution for modeling axial data, the ANOVA test is only valid for large concentrations. So we suggest to use alternative tests, such as bootstrap and permutation tests in ANOVA. Then, we investigate the performance of these tests for data from Watson populations defined on the hypersphere.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 28
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