Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/7104
Title: Bootstrap and permutation tests in ANOVA for directional data
Authors: Adelaide Figueiredo
Issue Date: 2017
Abstract: 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.
URI: http://repositorio.inesctec.pt/handle/123456789/7104
http://dx.doi.org/10.1007/s00180-017-0739-x
metadata.dc.type: article
Publication
Appears in Collections:LIAAD - Articles in International Journals

Files in This Item:
File Description SizeFormat 
P-00M-VW8.pdf343.09 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.