Statistics – Methodology
Scientific paper
2009-11-18
Statistics
Methodology
31 pages, 1 figure
Scientific paper
In this paper we address the statistical problem of testing if a stationary process is Gaussian. The observation consists in a finite sample path of the process. Using a random projection technique introduced and studied in Cuesta-Albertos et al. 2007 in the frame of goodness of fit test for functional data, we perform some decision rules. These rules really stand on the whole distribution of the process and not only on its marginal distribution at a fixed order. The main idea is to test the Gaussianity on the marginal distribution of some random linear combinations of the process. This leads to consistent decision rules. Some numerical simulations show the pertinence of our approach.
Alicia Nieto-Reyes Fabrice Gamboa
Cuesta-Albertos Juan . A.
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