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dc.contributor.authorŠedivá, Blanka
dc.contributor.authorVávra, František
dc.date.accessioned2019-12-09T11:00:21Z-
dc.date.available2019-12-09T11:00:21Z-
dc.date.issued2019
dc.identifier.citationŠEDIVÁ, B., VÁVRA, F. Risk events for two random processes. In: Journal of Applied Mathematics. Bratislava: Slovak University of Technology in Bratislava, 2019. s. 1050-1056. ISBN 978-1-5108-8214-0 , ISSN 1337-6365.en
dc.identifier.isbn978-1-5108-8214-0
dc.identifier.issn1337-6365
dc.identifier.uri2-s2.0-85070791765
dc.identifier.urihttp://hdl.handle.net/11025/36086
dc.format7 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherSlovak University of Technology in Bratislavaen
dc.relation.ispartofseriesJournal of Applied Mathematicsen
dc.rightsPlný text není přístupný.cs
dc.rights© Slovak University of Technology in Bratislavaen
dc.titleRisk events for two random processesen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessclosedAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe problem when a random variable exceeds some boundary is very often studied problem in many fields of science. The classical approach focuses on situation when random variable overlap a fix value. More general methods interested in situation with two random variables and the risk events occurs when the value of one random variable exceeds the value of the second random variable. This paper deals with a problem of exceeding for two random which are analysed in time. For two correlated random normal processes with systematically trend parts are studied statistical properties of their difference and statistical properties of cumulative variables. Although assumptions of models do not necessary correspond with the reality, the application of the real data show a possible application of this approach.en
dc.subject.translatedrisk+ risk eventen
dc.subject.translatedprobability modellingen
dc.subject.translatedstatistical inferenceen
dc.type.statusPeer-revieweden
dc.identifier.obd43927464
Vyskytuje se v kolekcích:Konferenční příspěvky / Conference Papers (KMA)
OBD

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