Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс: http://elar.urfu.ru/handle/10995/75319
Полная запись метаданных
Поле DCЗначениеЯзык
dc.contributor.authorTyrsin, A. N.en
dc.contributor.authorSurina, A. A.en
dc.date.accessioned2019-07-22T06:46:02Z-
dc.date.available2019-07-22T06:46:02Z-
dc.date.issued2018-
dc.identifier.citationTyrsin A. N. Monitoring of risk of multidimensional stochastic system as tools for a research of sustainable development of regions / A. N. Tyrsin, A. A. Surina // IOP Conference Series: Earth and Environmental Science. — 2018. — Vol. 177. — Iss. 1. — 12005.en
dc.identifier.issn1755-1307-
dc.identifier.otherhttps://iopscience.iop.org/article/10.1088/1755-1315/177/1/012005/pdfpdf
dc.identifier.other1good_DOI
dc.identifier.other473fb242-12af-4af0-8a55-6d194305ae23pure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85051970540m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/75319-
dc.description.abstractNew approach for a research of sustainable development of regions and cities is offered. It is based on the risk model of multidimensional stochastic system. In article the risk model of multidimensional stochastic system with interdependent factors is described. The hypothesis which consists that the risk can be managed by changing probabilistic properties of a component of multidimensional stochastic system is the cornerstone of the offered risk model. At the same time the multidimensional stochastic system is modeled in the form of a random vector which components in generally are mutually correlated. The questions of formation of multidimensional areas of dangerous states and calculation of risk are described. The representation of risk function is shown. For regions of the Ural Federal District on group of risk factors numerical characteristics of a multidimensional Gaussian random variable - a covariance matrix and a vector of mathematical expectations are found. Results of calculation of probability of a dangerous outcome and risk depending on the found numerical characteristics are given. © 2018 Institute of Physics Publishing. All rights reserved.en
dc.description.sponsorshipPresent study was carried out under financial support of the Russian Fund of Fundamental Research grant No. 17-01-00315 “Development of models and methods of monitoring, forecasting and control optimization of multidimensional regional socio-economic systems based on entropy and minimax approaches”.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherInstitute of Physics Publishingen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceIOP Conference Series: Earth and Environmental Scienceen
dc.subjectCOVARIANCE MATRIXen
dc.subjectPLANNINGen
dc.subjectRISK ASSESSMENTen
dc.subjectSTOCHASTIC MODELSen
dc.subjectSUSTAINABLE DEVELOPMENTen
dc.subjectGAUSSIAN RANDOM VARIABLEen
dc.subjectMATHEMATICAL EXPECTATIONen
dc.subjectNEW APPROACHESen
dc.subjectNUMERICAL CHARACTERISTICSen
dc.subjectPROBABILISTIC PROPERTIESen
dc.subjectRANDOM VECTORSen
dc.subjectRISK FACTORSen
dc.subjectRISK FUNCTIONen
dc.subjectSTOCHASTIC SYSTEMSen
dc.titleMonitoring of risk of multidimensional stochastic system as tools for a research of sustainable development of regionsen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.conference.name2018 3rd International Conference on Sustainable, ICSC 2018en
dc.conference.date18 May 2018-
dc.identifier.rsi35738127-
dc.identifier.doi10.1088/1755-1315/177/1/012005-
dc.identifier.scopus85051970540-
local.affiliationUral Federal University Named after the First President of Russia B. N. Yeltsin, Yekaterinburg, 620002, Russian Federationen
local.affiliationScience and Engineering Center Reliability and Resource of Large Systems and Machines, Ural Branch, Russian Academy of Sciences, Yekaterinburg, 620049, Russian Federationen
local.affiliationSouth Ural State University (National Research University), Chelyabinsk, 454080, Russian Federationen
local.contributor.employeeТырсин Александр Николаевичru
local.issue1-
local.volume177-
dc.identifier.wos000451502800005-
local.identifier.pure7766061-
local.description.order12005-
local.identifier.eid2-s2.0-85051970540-
local.identifier.wosWOS:000451502800005-
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

Файлы этого ресурса:
Файл Описание РазмерФормат 
10.1088-1755-1315-177-1-012005.pdf819,91 kBAdobe PDFПросмотреть/Открыть


Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.