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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/94088
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dc.contributor.authorNedel’ko, V. M.-
dc.contributor.authorStupina, T. A.-
dc.date.accessioned2014-04-15T12:01:08Z-
dc.date.available2014-04-15T12:01:08Z-
dc.date.issued2007-
dc.identifier.urihttp://elib.bsu.by/handle/123456789/94088-
dc.description.abstractA method for short-term prediction of earthquakes based on Markov time scale is investigated. The results show that the noise added to a signal when sensors are placed on the ground dramatically weakens the predictability. Additionally, a method for testing the statistical dependency between earthquakes on neighbouring regions is proposed. This method uses a certain model of earthquake influence propagation.ru
dc.language.isoenru
dc.publisherMinsk: BSUru
dc.subjectЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатикаru
dc.titleOn Evaluation of Statistical Regularities in Seismic Dataru
dc.typeconference paperru
Appears in Collections:Section 9. COMPUTER DATA ANALYSIS IN APPLICATIONS

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