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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/9273
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dc.contributor.authorKrasnogir, E. G.-
dc.date.accessioned2012-05-19T15:36:04Z-
dc.date.available2012-05-19T15:36:04Z-
dc.date.issued2007-
dc.identifier.citationKrasnogir, E. On Approximation Of Error Measure In Kernel Density Estimation Under Dependence / E. Krasnogir // Computer data analysis and modeling : complex stochastic data and systems : proc. of the 8th International conf., Minsk, sept. 11−15, 2007. – Minsk, 2007. – Vol. 1. – P. 132–135.-
dc.identifier.urihttp://elib.bsu.by/handle/123456789/9273-
dc.description.abstractThe problem of the probability density estimation by using n size sample of stationary process is considered. We investigate conditions which the coefficients in approximation of Mean Integrated Squared Error should satisfy to receive the consistent estimator. The clear approximation formula of optimal bandwidth for dependent data is given.ru
dc.language.isoenru
dc.subjectЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математикаru
dc.titleOn Approximation Of Error Measure In Kernel Density Estimation Under Dependenceru
dc.typeArticleru
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