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On the Analytical Postprocessing of Technical and Economic Information

On the Analytical Postprocessing of Technical and Economic Information —Topical aspects of modern computer science in their relation to the issues of analysis of technical and economic information and econometric research have been investigated. The feasibility of abandoning the methods of classical statistics and applying robust and nonparametric data processing procedures in real conditions of the heterogeneity of observations and significant deviations of empirical distributions from the normal law is justified. The possibilities and areas of application of econometric models, methods of nonparametric statistics, science metrics, and multidimensional data analysis, for production of information-analytical products and services are shown. The prospects of analytical postprocessing of techno-economic information in the structure of big data technologies are considered. The purpose of this article was to show the potential and systemic role of analytical post-processing of technical and economic information in the formation of a new digital information environment. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Documentation and Mathematical Linguistics Springer Journals

On the Analytical Postprocessing of Technical and Economic Information

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Publisher
Springer Journals
Copyright
Copyright © Allerton Press, Inc. 2021. ISSN 0005-1055, Automatic Documentation and Mathematical Linguistics, 2021, Vol. 55, No. 4, pp. 135–139. © Allerton Press, Inc., 2021. Russian Text © The Author(s), 2021, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2021, No. 7, pp. 1–6.
ISSN
0005-1055
eISSN
1934-8371
DOI
10.3103/s0005105521040038
Publisher site
See Article on Publisher Site

Abstract

—Topical aspects of modern computer science in their relation to the issues of analysis of technical and economic information and econometric research have been investigated. The feasibility of abandoning the methods of classical statistics and applying robust and nonparametric data processing procedures in real conditions of the heterogeneity of observations and significant deviations of empirical distributions from the normal law is justified. The possibilities and areas of application of econometric models, methods of nonparametric statistics, science metrics, and multidimensional data analysis, for production of information-analytical products and services are shown. The prospects of analytical postprocessing of techno-economic information in the structure of big data technologies are considered. The purpose of this article was to show the potential and systemic role of analytical post-processing of technical and economic information in the formation of a new digital information environment.

Journal

Automatic Documentation and Mathematical LinguisticsSpringer Journals

Published: Jul 1, 2021

Keywords: technical and economic information; digital environment; analytical postprocessing; econometrics; data analysis; forecasting; applied statistics; nonparametric methods; supercomputing; big data

References