Abstract
This paper considers the repeated measures analysis for functional data. For this problem, the projection-based tests analyzing randomly chosen one-dimensional projections are adapted. Theoretical justification of the correctness of the new tests is presented. Different aspects of the use of the tests based on random projections are discussed. Simulation studies indicate that the projection-based tests control the type I error level quite well, and they are usually more powerful than the tests known in the literature.
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Smaga, Ł. (2019). Projection-Based Repeated Measures Analysis for Functional Data. In: Steland, A., Rafajłowicz, E., Okhrin, O. (eds) Stochastic Models, Statistics and Their Applications. SMSA 2019. Springer Proceedings in Mathematics & Statistics, vol 294. Springer, Cham. https://doi.org/10.1007/978-3-030-28665-1_17
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DOI: https://doi.org/10.1007/978-3-030-28665-1_17
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