Zobrazeno 1 - 10
of 154
pro vyhledávání: '"регрессионные модели"'
Autor:
Eugeniya Karepova, Viktoriya Petrakova
Publikováno v:
Информатика и автоматизация, Vol 23, Iss 2, Pp 352-376 (2024)
В качестве маркера, характеризующего загрязнение воздуха в приземном слое атмосферы современных городов, часто используется уровень к
Externí odkaz:
https://doaj.org/article/d3a2804b10f54102884b9376572b3d7a
Autor:
Козырь, П.С., Яковлев, Р.Н.
Publikováno v:
Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, Vol 2021, Iss 4, Pp 119-130 (2021)
В рамках настоящего исследования был проведен анализ существующих работ, посвященных интерпретации показаний тактильных сенсорных ус
Externí odkaz:
https://doaj.org/article/93445a96a75d4db8af442601120d6e06
Autor:
Natallia Skobova, Alena Kosoyan
Publikováno v:
Vestnik of Vitebsk State Technological University, Vol 1, Iss 38, Pp 125-133 (2020)
The range of man-made fibеrs and filament yarn is constantly expanding due to the appearance of new types of polymers and modifications to existing ones. SvetlogorskKhimvolokno Company has released on the textile yarn market about 18 types of new pr
Externí odkaz:
https://doaj.org/article/59bded3b5520401a8e38e539c9fbcf98
Publikováno v:
Beneficium, Vol 3, Iss 32, Pp 52-66 (2019)
The need to rethink, clarify and adjust the existing strategic planning document – Forecast of long-term socio-economic development of municipal formation city district «the City of Komsomolsk-on-Amur» for the period up to 2032 has determined the
Externí odkaz:
https://doaj.org/article/637978d742df4282b4111c11cb5e6729
Publikováno v:
Вестник Донского государственного технического университета, Vol 8, Iss 2, Pp 170-176 (2018)
Results of unseat moment investigations for metal-polymeric turning pairs are cited. Testing machine and testing technique are described. Fluent features of thermal and power load conditions to friction coefficient are descripted.
Externí odkaz:
https://doaj.org/article/9a50509d0f614e60bf78e4341895ce2e
Autor:
Musatova M. M., Lugacheva L. I.
Publikováno v:
Mir Èkonomiki i Upravleniâ, Vol 18 (1), Pp 114-128 (2018)
The article shows the importance of mergers and acquisitions (M&A) for the Russian economy; demonstrates the characteristics of domestic transactions from the position of target companies and acquirers. We exhibit results of a two-level analysis of t
Externí odkaz:
https://doaj.org/article/dc069c8486a94896869d07bf2dc6165b
Autor:
Sokolov A. V., Rimskaya A. O.
Publikováno v:
Mir Èkonomiki i Upravleniâ, Vol 16 (4), Pp 48-66 (2016)
The article highlights main factors affecting productivity of enterprises in the defense industry. With the elimination of a number of factors, we determined functional dependence form between the change in productivity (at the company level in compa
Externí odkaz:
https://doaj.org/article/0c5ae190a68c4da385b5359ec171f25a
Autor:
Sokolov A. V., Bazhanov V. A.
Publikováno v:
Mir Èkonomiki i Upravleniâ, Vol 16 (3), Pp 100-112 (2016)
The relations between the financial statements’ figures of the complex of refining companies - the core of Russian refining industry from 2006 to 2013 - were analyzed using component and regression analysis from the standpoint of the effectiveness
Externí odkaz:
https://doaj.org/article/1bd459923c574cbba8adbab42fad5ea7
Autor:
Nina L. Timofeeva, Artem I. Fedossev
Publikováno v:
Статистика и экономика, Vol 0, Iss 1, Pp 167-170 (2016)
The article presents the methodological and technical bases for the creation of regression models that adequately reflect reality. The focus is on methods of removing residual autocorrelation in models. Algorithms eliminating heteroscedasticity and a
Externí odkaz:
https://doaj.org/article/055a64399795408a94866d793923e0fe
Publikováno v:
Статистика и экономика, Vol 0, Iss 6, Pp 175-178 (2016)
The article deals with the problem of assessing the impact of infrastructure investment on the economic situation of the region. It is suggested that economic and social effects of, as well as instant and deferred. Using regression analysis allowed u
Externí odkaz:
https://doaj.org/article/351c1e66839049efb158cc2f4ca162cf