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Практическое использование результатов корреляционно-регрессионного анализа для прогнозирования качества арматурного проката в бухтах
Савченко, С. А., Сычков, А. Б.
Practical application of correlation-regression analysis results for predicting the quality
Profit forecast as a tool to improve enterprises competitiveness
Zulfakarova L., Kundakchyan R., Vakhitova T., Gadelshina L.
competitiveness using the meat processing industry as a case study. The research, based on correlation analysis
Роль климатических факторов в формировании энергетических режимов городского водоснабжения
Капанский, А. А.
during rainy periods. At negative temperatures, no significant correlations with water consumption were
Econometric estimation of debt on legal entities loans
Bulatova E., Kadochnikova E., Khaliullina E.
. Linear correlation, linear regression, classical least squares method and graphical method were used
Correlation analysis of spectroscopic data
Mikheev A., Kazakov B.
-mathematical model. In the latter case the method of correlation analysis allows to determine the regression values
Fuzzy regression analysis using trapezoidal fuzzy numbers
Ismagilov I.I., Alsaied G.
© 2020 KIIE As a widely used method, regression analysis plays an increasingly important role
Correlation Analysis of Postoperative Recurrence and Metastasis of Renal Cancer with Type 2 Diabetes Mellitus
Liu Yang, Meng Lingling, Li Jianwei, Song Qi Gui, Song Miaomiao
of the correlation analysis of postoperative recurrence and metastasis in patients with type 2 diabetes showed
Brief statistical analysis of geochemical sampling of the Inteet area (Sudan)
Kotelnikov A.E., Ibrahim M.A.E., Kotelnikova E.M., Carlosama F.J.
statistical analysis of the content of elements in geochemical rock samples of the Inteet area located
Profit forecast as a tool to improve enterprises competitiveness
Zulfakarova L., Kundakchyan R., Vakhitova T., Gadelshina L.
competitiveness using the meat processing industry as a case study. The research, based on correlation analysis
Analysis of regression relationship between the number of organisations of the Russian Regional innovation infrastructure and the university Infrastructure and the gross regional product
Moskovkin, V. M., Sizyoongo Munenge, Mishunin, V. V., Sivakov, S. I., Ovchinnikova, O. P.
to determine the regression relationship between the number of organisations of the regional innovation

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