Situational and inductive modelling in problems of extrapolation forecasting based on monitoring data

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Bibliographic Details
Date:2016
Main Author: D. V. Stefanyshyn
Format: Article
Language:English
Published: 2016
Series:System researches & information technologies
Online Access:http://jnas.nbuv.gov.ua/article/UJRN-0001079137
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Journal Title:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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author D. V. Stefanyshyn
author_facet D. V. Stefanyshyn
author_sort D. V. Stefanyshyn
collection Open-Science
first_indexed 2025-07-18T00:33:17Z
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institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
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publishDate 2016
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series System researches & information technologies
spelling open-sciencenbuvgovua-566412024-02-29T13:25:13Z Situational and inductive modelling in problems of extrapolation forecasting based on monitoring data D. V. Stefanyshyn 1681-6048 2016 en System researches & information technologies http://jnas.nbuv.gov.ua/article/UJRN-0001079137 Article
spellingShingle System researches & information technologies
D. V. Stefanyshyn
Situational and inductive modelling in problems of extrapolation forecasting based on monitoring data
title Situational and inductive modelling in problems of extrapolation forecasting based on monitoring data
title_full Situational and inductive modelling in problems of extrapolation forecasting based on monitoring data
title_fullStr Situational and inductive modelling in problems of extrapolation forecasting based on monitoring data
title_full_unstemmed Situational and inductive modelling in problems of extrapolation forecasting based on monitoring data
title_short Situational and inductive modelling in problems of extrapolation forecasting based on monitoring data
title_sort situational and inductive modelling in problems of extrapolation forecasting based on monitoring data
url http://jnas.nbuv.gov.ua/article/UJRN-0001079137
work_keys_str_mv AT dvstefanyshyn situationalandinductivemodellinginproblemsofextrapolationforecastingbasedonmonitoringdata