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Нейросетевое прогнозирование генерации электроэнергии солнечными панелями is analysis of various regression methods application on quality
of short-term solar PV
Unemployment and output dynamics in CIS countries: Okun’s law revisited is to provide a rigorous econometric analysis of Okun’s law for several CIS countries using different models
Predicting Threat Degree for Onset of Type 2 Diabetes Mellitus Based on Machine Learning Methods classification model based on the logistic regression method has been proposed and developed. The developed
Improved model selection method for an adaptive estimation in semimartingale regression models in a continuous time regression model with the dependent noises given by a general square integrable
Use of economic and mathematical modeling tools in planning investments in fixed assets an economic-mathematical model that makes it possible to predict a value of capital productivity knowing
Strength of shs aluminium cast iron from dispersed mechanical engineering waste out. The statistical processing of experimental results is performed. The mathematical model
Foreign economic and interregional relations of the Russian Federation subjects (The case of the Tatarstan Republic): Analysis and predictions of the Federation and offer a model of forecasting the development of interregional cooperation relations based
Comparative analysis of FDI determinants in Russia and BRICS Countries by World Bank database of economic statistics. The last part includes polynomial regression model
Statistical analysis of activities of insurance companies in modern RussiaThe article presents the results of a correlation-regression analysis of the activities of two Rus
Impact of agricultural landscape conditions on botanical composition of legume-bluegrass mixtures: An analytical system of monitoring the state of agrocenoses reactions of legume-bluegrass mixtures on agricultural landscape terrain regions. Regression
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