Asymptotic Normality of Nonparametric Kernel Type Deconvolution Density Estimators: crossing the Cauchy boundary

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dc.creatorvan Es, A. J.
dc.creatorUh, H. -W.
dc.date2002-12-01
dc.date2003-05-22
dc.date.accessioned2026-07-07T08:06:04Z
dc.date.available2026-07-07T08:06:04Z
dc.descriptionWe derive asymptotic normality of kernel type deconvolution density estimators. In particular we consider deconvolution problems where the known component of the convolution has a symmetric lambda-stable distribution, 0<lambda<= 2. It turns out that the limit behavior changes if the exponent parameter lambda passes the value one, the case of Cauchy deconvolution.
dc.identifierhttps://arxiv.org/abs/math/0212007
dc.identifierhttp://arxiv.org/abs/math/0212007
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130481
dc.subjectStatistics Theory
dc.subject62G05; 62E20
dc.titleAsymptotic Normality of Nonparametric Kernel Type Deconvolution Density Estimators: crossing the Cauchy boundary
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