METHODOLOGICAL ASPECTS OF THE DIGITAL ECONOMY IN THE FOCUS OF STATISTICAL PREDICTION METHODS
- Authors: Trusova A.Y.1, Ilyina A.I.1
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Affiliations:
- Samara National Research University
- Issue: Vol 8, No 1 (2017)
- Pages: 42-46
- Section: MATHEMATICAL AND INSTRUMENTAL METHODS OF ECONOMICS
- URL: https://journals.ssau.ru/eco/article/view/6318
- DOI: https://doi.org/10.18287/2542-0461-2017-8-1-42-46
- ID: 6318
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Abstract
The article deals with methodological aspects of the use of multidimensional statistical methods, methods of economic statistics and information technologies in the study of the economic direction of «digital economy». The features of the application of various statistical approaches, as well as the possibility of their combined use are noted. Features of forecasting of the basic indicators of social and economic sphere are presented.
About the authors
A. Yu. Trusova
Samara National Research University
Author for correspondence.
Email: lionernew@gmail.com
A. I. Ilyina
Samara National Research University
Email: lionernew@gmail.com
References
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- Trusova A.Yu., Ilyina A.I. Modelirovaniye i analiz dinamicheskikh dannykh [Modeling and analysis of dynamic data]. In: Vestnik Samarskogo gosudarstvennogo universiteta [Vestnik of Samara State University], 2013, no. 7 (108), pp. 127–133 [in Russian].
- Thornhill John. The Big Data revolution can revive the planned economy. In: Financial Times. 04.09.2017 [in English].
- Alan Davidson, Director of Digital Economy, Commerce Department Digital Economy Agenda, May 2016. Retrieved from: https://www.ntia.doc.gov/files/ntia/publications/alan_davidson_digital_economy_agenda_deba_presensation_051616.
- pdf [in English].
- Shulttseva V. Tsifrovaiia ekonomika Kitaiia [Digital Economy of China]. Retrieved from: http://www.lastmile.su/journal/article/4702 [in Russian].
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