Mathematical modeling of the dynamics of the Russian market for wholesale trade of industrial equipment
Abstract
The article provides an economic and statistical analysis of the wholesale market of industrial equipment in the Russian Federation and the Samara region. Statistical indicators reflecting market dynamics have been determined. The possibility of applicability of economic and statistical methods to economic indicators of the market, such as statistical grouping, correlation and regression analysis, methods of nonparametric statistics, methods of analysis and modeling of time series, is substantiated. A comparative assessment of the dynamics of wholesale trade turnover in Russia and the Samara region was carried out using the method of comparative analysis, using relative values – lead coefficients. The forecast of the turnover indicators of wholesale trade in industrial equipment of the Russian Federation and the Samara region has been made.
About the Authors
S. I. Makarov
Samara State University of Economics
Russian Federation
Russian Federation
Sergey I. Makarov – Doctor of Pedagogical Sciences, Professor, Professor of the Department of Statistics
and Econometrics
Samara
M. A. Lukianov
Samara State University of Economics
Russian Federation
Russian Federation
Maxim A. Lukianov – postgraduate student of the Department of Statistics and Econometrics
Samara
D. V. Ivanov
Samara State Transport University; Samara National Research University
Russian Federation
Russian Federation
Dmitry V. Ivanov – Candidate of Physical and Mathematical Sciences, Associate Professor, Associate Professor
Samara
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Review
For citations:
Makarov S.I., Lukianov M.A., Ivanov D.V. Mathematical modeling of the dynamics of the Russian market for wholesale trade of industrial equipment. Vestnik of Samara State University of Economics. 2024;(6):44-50. (In Russ.)
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