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Корреляционный анализ специального компонента профессиональной компетентности бакалавра экономического направления
КОШЕВАЯ Н.С.
, therefore, in this article we carried out a correlation analysis of the interconnection of the subcomponents
Detection of Intrinsic Optical Signals in the Somatosensory Cortex of Neonatal Rats by Principal Components Analysis
Sintsov M., Suchkov D., Minlebaev M.
components analysis (PCA) method for the automatic detection of IOS at the early stages of development
Phraseological units with onomatopoeic components in English and German
Arsenteva E., Nurullova A.
(PUs) with onomatopoeic components in the English and German languages. Such an analysis is conducted
EVALUATION OF MACROECONOMIC DYNAMICS USING GENERALIZED MODIFIED PRINCIPAL COMPONENTS ANALYSIS
Verenikin A., Verenikina A.
on the means of generalized modified principal component analysis (GMPCA) applied to temporal structure
Creative, research and educational activities: an analysis of structural components
Taranova M.V.
The article provides a comparative analysis of structural components of creativity, research
Analysis of the Russian-Chinese economic correlation in the field of foreign trade relations in the pandemic
Sinianskaia E.
-Chinese economic cooperation in the field of trade. The analysis of the structural components of the most
Risk factors affecting the development of complications in patients with giant incisional hernia [Факторы риска, влияющие на развитие осложнений у пациентов с гигантскими послеоперационными вентральными грыжами]
Kuliev S.A., Protasov A.V., Kossovich M.A.
of complications in patients with incisional hernias after component separation. Material and methods. The analysis
Principal component analysis of global maps of the total electronic content
Maslennikova Y., Bochkarev V.
(TEC) performed by the Principal Component Analysis (PCA) with the use of global maps of TEC provided
Analysis of the velocity profile in Lake Shira in summer using principal component analysis
Володько, Ольга Станиславовна, Компаниец, Лидия Алексеевна, Гаврилова, Людмила Владимировна
greatly in depth as well as in time. The principal component method has been performed to analyze
Separation of ferromagnetic components by analyzing the hysteresis loops of remanent magnetization
Kosareva L., Utemov E., Nurgaliev D., Shcherbakov V., Kosarev V., Yasonov P.
(Mongolia) are studied. At least four groups of magnetic components are identified based on the analysis

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