ANALYZING THE RESULTS OF VERIFICATION OF SHORT-TERM FORECASTS OF FIGURES OF ACADEMIC RESEARCH AND INNOVATION SPHERE IN RUSSIA

On the basis of authors' programs and methodological approaches the automated system of calculating short-term forecast of the parameters in the field of research and innovation was developed. The article for the first time raised and solved the task of analyzing dynamic assessment of accuracy...

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Autores principales: Igor B. Kolmakov, Olga V. Kitova, Aleksey V. Koltsov, Matvey V. Domozhakov
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Lenguaje:RU
Publicado: Plekhanov Russian University of Economics 2017
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spelling oai:doaj.org-article:071b7cfcc6f0493f98e90fe6e5f29b422021-11-15T05:20:44ZANALYZING THE RESULTS OF VERIFICATION OF SHORT-TERM FORECASTS OF FIGURES OF ACADEMIC RESEARCH AND INNOVATION SPHERE IN RUSSIA2413-28292587-925110.21686/2413-2829-2016-5-160-172https://doaj.org/article/071b7cfcc6f0493f98e90fe6e5f29b422017-09-01T00:00:00Zhttps://vest.rea.ru/jour/article/view/214https://doaj.org/toc/2413-2829https://doaj.org/toc/2587-9251On the basis of authors' programs and methodological approaches the automated system of calculating short-term forecast of the parameters in the field of research and innovation was developed. The article for the first time raised and solved the task of analyzing dynamic assessment of accuracy and quality of retro-forecast parameters on the data for 2012, 2013 and 2014. Figures of the research and developments observed by the Rosstat were analyzed, as well as methodology of their shaping and trajectories of the data for 2004-2014. The authors found the reasons for restrictions and maximum possibilities of using regressive models of the forecast. A specialized complex of automated calculation accuracy and quality of retro-forecast. The research proved conclusions about qualitative restrictions of possibilities of econometric models and allowed to get qualitative assessment for parameters in the field of research and innovation. More than 80% of figures are forecasted successfully. As for other figures it is recommended to use alternative methods of forecast, for instance neuro-network. The use of verification in the automated system of calculating the comparative assessments could increase the speed, accuracy and quality of regressive equation adjustment.Igor B. KolmakovOlga V. KitovaAleksey V. KoltsovMatvey V. DomozhakovPlekhanov Russian University of Economicsarticlefield of research and innovationsystems of regressive equationsmodels of sort-term forecastforecast verificationEconomics as a scienceHB71-74RUВестник Российского экономического университета имени Г. В. Плеханова, Vol 0, Iss 5, Pp 160-172 (2017)
institution DOAJ
collection DOAJ
language RU
topic field of research and innovation
systems of regressive equations
models of sort-term forecast
forecast verification
Economics as a science
HB71-74
spellingShingle field of research and innovation
systems of regressive equations
models of sort-term forecast
forecast verification
Economics as a science
HB71-74
Igor B. Kolmakov
Olga V. Kitova
Aleksey V. Koltsov
Matvey V. Domozhakov
ANALYZING THE RESULTS OF VERIFICATION OF SHORT-TERM FORECASTS OF FIGURES OF ACADEMIC RESEARCH AND INNOVATION SPHERE IN RUSSIA
description On the basis of authors' programs and methodological approaches the automated system of calculating short-term forecast of the parameters in the field of research and innovation was developed. The article for the first time raised and solved the task of analyzing dynamic assessment of accuracy and quality of retro-forecast parameters on the data for 2012, 2013 and 2014. Figures of the research and developments observed by the Rosstat were analyzed, as well as methodology of their shaping and trajectories of the data for 2004-2014. The authors found the reasons for restrictions and maximum possibilities of using regressive models of the forecast. A specialized complex of automated calculation accuracy and quality of retro-forecast. The research proved conclusions about qualitative restrictions of possibilities of econometric models and allowed to get qualitative assessment for parameters in the field of research and innovation. More than 80% of figures are forecasted successfully. As for other figures it is recommended to use alternative methods of forecast, for instance neuro-network. The use of verification in the automated system of calculating the comparative assessments could increase the speed, accuracy and quality of regressive equation adjustment.
format article
author Igor B. Kolmakov
Olga V. Kitova
Aleksey V. Koltsov
Matvey V. Domozhakov
author_facet Igor B. Kolmakov
Olga V. Kitova
Aleksey V. Koltsov
Matvey V. Domozhakov
author_sort Igor B. Kolmakov
title ANALYZING THE RESULTS OF VERIFICATION OF SHORT-TERM FORECASTS OF FIGURES OF ACADEMIC RESEARCH AND INNOVATION SPHERE IN RUSSIA
title_short ANALYZING THE RESULTS OF VERIFICATION OF SHORT-TERM FORECASTS OF FIGURES OF ACADEMIC RESEARCH AND INNOVATION SPHERE IN RUSSIA
title_full ANALYZING THE RESULTS OF VERIFICATION OF SHORT-TERM FORECASTS OF FIGURES OF ACADEMIC RESEARCH AND INNOVATION SPHERE IN RUSSIA
title_fullStr ANALYZING THE RESULTS OF VERIFICATION OF SHORT-TERM FORECASTS OF FIGURES OF ACADEMIC RESEARCH AND INNOVATION SPHERE IN RUSSIA
title_full_unstemmed ANALYZING THE RESULTS OF VERIFICATION OF SHORT-TERM FORECASTS OF FIGURES OF ACADEMIC RESEARCH AND INNOVATION SPHERE IN RUSSIA
title_sort analyzing the results of verification of short-term forecasts of figures of academic research and innovation sphere in russia
publisher Plekhanov Russian University of Economics
publishDate 2017
url https://doaj.org/article/071b7cfcc6f0493f98e90fe6e5f29b42
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