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Abstract: We propose a procedure to test complicated ANOVA designs for functional data. The procedure is effective, flexible, easy to compute and does not require a heavy computational effort. It is based on the analysis of randomly chosen one-dimensional projections. The paper contains some theoretical results as well as some simulations and the analysis of some real data sets. Functional data include multidimensional data, so the paper contains a comparison between the proposed procedure and some usual MANOVA tests.
Authorship: Cuesta-Albertos J., Febrero-Bande M.,
Fuente: Test, 2010, 19(3), 537-557
Publisher: Springer
Publication date: 01/11/2010
No. of pages: 21
Publication type: Article
DOI: 10.1007/s11749-010-0185-3
ISSN: 1133-0686,1863-8260
Spanish project: MTM2008-0607-C02-02
Publication Url: https://doi.org/10.1007/s11749-010-0185-3
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JUAN ANTONIO CUESTA ALBERTOS
FEBRERO-BANDE, M.
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