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http://elar.urfu.ru/handle/10995/75319
Полная запись метаданных
Поле DC | Значение | Язык |
---|---|---|
dc.contributor.author | Tyrsin, A. N. | en |
dc.contributor.author | Surina, A. A. | en |
dc.date.accessioned | 2019-07-22T06:46:02Z | - |
dc.date.available | 2019-07-22T06:46:02Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Tyrsin 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.issn | 1755-1307 | - |
dc.identifier.other | https://iopscience.iop.org/article/10.1088/1755-1315/177/1/012005/pdf | |
dc.identifier.other | 1 | good_DOI |
dc.identifier.other | 473fb242-12af-4af0-8a55-6d194305ae23 | pure_uuid |
dc.identifier.other | http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85051970540 | m |
dc.identifier.uri | http://elar.urfu.ru/handle/10995/75319 | - |
dc.description.abstract | New 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.sponsorship | Present 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.mimetype | application/pdf | en |
dc.language.iso | en | en |
dc.publisher | Institute of Physics Publishing | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.source | IOP Conference Series: Earth and Environmental Science | en |
dc.subject | COVARIANCE MATRIX | en |
dc.subject | PLANNING | en |
dc.subject | RISK ASSESSMENT | en |
dc.subject | STOCHASTIC MODELS | en |
dc.subject | SUSTAINABLE DEVELOPMENT | en |
dc.subject | GAUSSIAN RANDOM VARIABLE | en |
dc.subject | MATHEMATICAL EXPECTATION | en |
dc.subject | NEW APPROACHES | en |
dc.subject | NUMERICAL CHARACTERISTICS | en |
dc.subject | PROBABILISTIC PROPERTIES | en |
dc.subject | RANDOM VECTORS | en |
dc.subject | RISK FACTORS | en |
dc.subject | RISK FUNCTION | en |
dc.subject | STOCHASTIC SYSTEMS | en |
dc.title | Monitoring of risk of multidimensional stochastic system as tools for a research of sustainable development of regions | en |
dc.type | Conference Paper | en |
dc.type | info:eu-repo/semantics/conferenceObject | en |
dc.type | info:eu-repo/semantics/publishedVersion | en |
dc.conference.name | 2018 3rd International Conference on Sustainable, ICSC 2018 | en |
dc.conference.date | 18 May 2018 | - |
dc.identifier.rsi | 35738127 | - |
dc.identifier.doi | 10.1088/1755-1315/177/1/012005 | - |
dc.identifier.scopus | 85051970540 | - |
local.affiliation | Ural Federal University Named after the First President of Russia B. N. Yeltsin, Yekaterinburg, 620002, Russian Federation | en |
local.affiliation | Science and Engineering Center Reliability and Resource of Large Systems and Machines, Ural Branch, Russian Academy of Sciences, Yekaterinburg, 620049, Russian Federation | en |
local.affiliation | South Ural State University (National Research University), Chelyabinsk, 454080, Russian Federation | en |
local.contributor.employee | Тырсин Александр Николаевич | ru |
local.issue | 1 | - |
local.volume | 177 | - |
dc.identifier.wos | 000451502800005 | - |
local.identifier.pure | 7766061 | - |
local.description.order | 12005 | - |
local.identifier.eid | 2-s2.0-85051970540 | - |
local.identifier.wos | WOS:000451502800005 | - |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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10.1088-1755-1315-177-1-012005.pdf | 819,91 kB | Adobe PDF | Просмотреть/Открыть |
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