Bootstrap and permutation tests in ANOVA for directional data

• Tipo: Artigo em Revista Científica Internacional
• Data: 2017

Autores

Adelaide Figueiredo (Autor) FEP

Revista

Título: Computational Statistics

Vol. 32

Páginas: 1213-1240

ISSN: 0943-4062

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 7 Citações

Scopus - 7 Citações

Outras Informações

ID Authenticus: P-00M-VW8

DOI: 10.1007/s00180-017-0739-x

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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 28