Large deviations probabilities for a test of symmetry based on kernel density estimator
AbstractThe goal is to prove large deviations limit theorems for statistics, which are based on kernel density estimator and which are designed for symmetry testing. The formulas for the rate functions of the pointwise difference and the uniform norm of the difference are expressed in terms of the underlying density function and their asymptotics are found.
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Bibliographic InfoArticle provided by Elsevier in its journal Statistics & Probability Letters.
Volume (Year): 54 (2001)
Issue (Month): 4 (October)
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Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description
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- Berrahou, Noureddine, 2008. "Large deviations probabilities for a symmetry test statistic based on delta-sequence density estimation," Statistics & Probability Letters, Elsevier, vol. 78(3), pages 238-248, February.
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