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The transport system of Russia is an important component of the industrial infrastructure, and its development is one of the priorities of state activities. In the context of integrated regional development, transport is a tool for implementing the economic interests of subjects. Currently, the transport system of the Russian Federation is actively developing. This largely determines the development of economic indicators, such as imports and exports, as well as an increase in the volume of sales of goods of their own production. In this regard, it is important and relevant to study the current state of the transport system and the factors of its development. The paper explores the forms of dependent indicators of the road transport industry of the Volga Federal District. Due to the limited sample size, it is proposed to study this area using the formation of integral indicators using discriminant and canonical analysis methods. The use of canonical variables as integral indicators expands the possibilities of applying canonical correlation in other analyses, including in econometric modeling. The integral factor calculated by the discriminant analysis algorithm reduces the dimension and allows us to estimate the degree of crowding and the form of dependence between the integral variables in conditions of a small sample size.

About the authors

Evgeniya N. Barysheva

Samara National Research University

Author for correspondence.
ORCID iD: 0000-0002-2455-1152

senior lecturer of the Department of Mathematics and Business Informatics

Russian Federation

Irina S. Maximova

Samara National Research University

ORCID iD: 0000-0002-8531-2497

Master of the direction of Business Informatics

Russian Federation


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