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MODELLING OF ECONOMIC GROWTH OF RUSSIA AS THE BASE FOR THE MACROECONOMIC FORECAST are considered. The macroeconomic growth model of Russia is developed, the importance of its equations
Competitiveness Strategy of South Korean Cosmetic Brands: Current Practices and Opportunities for
Russian Cosmetic Brands substitution policies. We constructed the econometric models (with ordinary least square, weighted least square
On the Nonparametric Estimation of the Functional Regression Based on Censored Data under Strong Mixing ConditionIn this paper, we are concerned with local linear nonparametric estimation of the regression
On linear regression and other advanced algorithms for electrical load forecast using weather and time data models are considered. These are Linear Regression, Decision Tree, Random Forest and Gradient Tree
Application of Statistical and Probabilistic Methods for Optimization of Parking Systems Operation and for the Recognition of License Platesregression models
Theoretical foundations of using econometric methods of time series forecasting for time series forecasting. The paper deals with the following types of forecasting models: regression
Novel Approach to Predicting Soil Permeability Coefficient Using Gaussian Process Regression, various kernel-function-based Gaussian process regression models were developed to estimate the soil
Study of the optical properties of an exposed soil surface, the mapping time is most closely associated with the optical properties. The models obtained in the course
Assessment of mutual probabilistic influence of volatility of official price for precious metals on the market value of the Bi-currency basket profit the long-run period. The regression model is used as an instrument of mathematic economic modeling.
Numerical Method of Synthesized Control for Solution of the Optimal Control Problem of mathematical model of an object of control to a form of the contracting mapping. The decision represents
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