A central limit theorem for non-instantaneous filters of a stationary Gaussian process
AbstractA central limit theorem for a class of non-instantaneous filters of a stationary Gaussian process is proved and it is applied to study the limiting distributions of the number of zero-crossings.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Multivariate Analysis.
Volume (Year): 22 (1987)
Issue (Month): 1 (June)
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Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description
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