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Methodological analysis of the composition of innovation management: competences and the impact of its elements on innovation performance
Hu Guiyu
Multiple linear regression analysis
Fuzzy regression analysis using trapezoidal fuzzy numbers
Ismagilov I.I., Alsaied G.
. In this paper, we propose a new method for constructing linear fuzzy regression using trapezoidal fuzzy numbers
River runoff modeling in the European territory of Russia
Yermolaev O., Mukharamova S., Vedeneeva E.
zones are presented via the use of multiple regression methods. Multiple regression methods do
Modeling and Management of Power Supply Enterprises' Cash Flows
Pyatkina Darya, Shcherbina Tamara, Samusenkov Vadim, Razinkina Irina, Sroka Mariusz
linear regression
Применение метода линейной регрессии для решения транспортных задач
Невейков, А. С.
for solving problems by linear regression using machine learning. A model has been created that predicts
Forecasting the Mutual Trade Volume between the Republic of Belarus and China Based on Correlation and Regression Analysis
Vinnik, O. G., Hu Xiaoqi, Винник, О. Г., Ху Сяоци
and Regression Analysis
An approach to the understanding of sustainable tourism through a linear regression
Brazales, Diego F., Mata, Leonardo, Alban, Carlos G.
of sustainable tourism quantitatively through a linear regression
Линейное пропорциональное Прокрустово преобразование в распознавании рукописных букв
Муха, В. С., Кузьков, А. Н., Mukha, V. S., Kuzkou, A. N.
преобразованиями.The linear proportional transformation of twodimensional matrices is developed
Experience in Statistical Forecasting of the Atmospheric Temperature
Mukha, V. S.
) is considered. The problem is formulated as a task of linear extrapolating a vector random sequence
Обзор инструментов для регрессионного анализа в R: от фундаментальных методов до нейронных сетей
Лебедева О.А., Зарядов И.С.
. In addition to basic linear regression methods, more complex models are considered, including generalized

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