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with the help of the Generative Topographic Mapping approach. Consensus Support Vector Regression (SVR) model

number. The model used nonlinear Poisson regression. The investigated time series were converted from Dst

estimates of the shadow economy. This leads to the need to find effective forecasting models and techniques

capita, population, and GDP influence energy demand. Employing a regression model, we evaluate

that time-dependence of these factors can be reproduced by the nonlinear regression model. The concrete form

regression model were determined using the least squares method. To assess the quality of the model

the Wolf number dynamics. This study is based on the use of adaptive regression modeling approach

in the financial sector. The article discusses the possibility of using linear regression models when developing a

linear multiple regression model and classical least squares methods has been used. The results depict

competencies, creating a regression model of core competencies and ranking core competencies.

Страница 8 из 5008