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http://elar.urfu.ru/handle/10995/103040
Полная запись метаданных
Поле DC | Значение | Язык |
---|---|---|
dc.contributor.author | Tyrsin, A. | en |
dc.contributor.author | Azaryan, A. | en |
dc.date.accessioned | 2021-08-31T15:07:05Z | - |
dc.date.available | 2021-08-31T15:07:05Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Tyrsin A. Linear regression modeling in monitoring tasks based on the method of least absolute deviations / A. Tyrsin, A. Azaryan. — DOI 10.1063/5.0041859 // AIP Conference Proceedings. — 2021. — Vol. 2333. — 090013. | en |
dc.identifier.isbn | 9780735440777 | - |
dc.identifier.issn | 0094243X | - |
dc.identifier.other | Final | 2 |
dc.identifier.other | All Open Access, Bronze | 3 |
dc.identifier.other | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102728608&doi=10.1063%2f5.0041859&partnerID=40&md5=f137f9a6079844ee68414d5460f9a51c | |
dc.identifier.other | https://aip.scitation.org/doi/pdf/10.1063/5.0041859 | m |
dc.identifier.uri | http://elar.urfu.ru/handle/10995/103040 | - |
dc.description.abstract | Algorithm for the exact solution of the problem of estimating the parameters of linear regression models by the least absolute deviations method is described. It is based on the descent through the nodal straight lines. This algorithm significantly outperforms other well-known methods of solving the problem and it can be effectively used in practice. The computational complexity of the descent algorithm through the nodal straight lines is assessed. © 2021 Author(s). | en |
dc.description.sponsorship | The research was supported by a grant from the Russian Fund of Fundamental Research, project no. 20-41-660008. | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | en | en |
dc.publisher | American Institute of Physics Inc. | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.source | AIP Conf. Proc. | 2 |
dc.source | AIP Conference Proceedings | en |
dc.title | Linear regression modeling in monitoring tasks based on the method of least absolute deviations | en |
dc.type | Conference Paper | en |
dc.type | info:eu-repo/semantics/conferenceObject | en |
dc.type | info:eu-repo/semantics/publishedVersion | en |
dc.identifier.doi | 10.1063/5.0041859 | - |
dc.identifier.scopus | 85102728608 | - |
local.contributor.employee | Tyrsin, A., Ural Federal University Named after the First President of Russia B. N. Yeltsin, Yekaterinburg, Russian Federation | |
local.contributor.employee | Azaryan, A., Ural Federal University Named after the First President of Russia B. N. Yeltsin, Yekaterinburg, Russian Federation | |
local.volume | 2333 | - |
dc.identifier.wos | 000664205600068 | - |
local.contributor.department | Ural Federal University Named after the First President of Russia B. N. Yeltsin, Yekaterinburg, Russian Federation | |
local.identifier.pure | 21042933 | - |
local.identifier.pure | 740a9afd-5e57-4c12-a0c4-adeff667440b | uuid |
local.description.order | 090013 | - |
local.identifier.eid | 2-s2.0-85102728608 | - |
local.fund.rffi | 20-41-660008 | - |
local.identifier.wos | WOS:000664205600068 | - |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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Файл | Описание | Размер | Формат | |
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2-s2.0-85102728608.pdf | 480,39 kB | Adobe PDF | Просмотреть/Открыть |
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