Computer Aided System of Time Series Analysis Methods for Forecasting the Epidemics Outbreaks

dc.contributor.authorPolyvianna, Yulia
dc.contributor.authorChumachenko, Dmytro
dc.contributor.authorChumachenko, Tetyana
dc.date.accessioned2019-05-21T07:16:19Z
dc.date.available2019-05-21T07:16:19Z
dc.date.issued2019-02-26
dc.description.abstractThe research is devoted to the problem of predicting the incidence of gastroenterocollitis. The paper discusses the forecasting of time series by statistical models. The methods of exponential smoothing and adaptive exponential smoothing are proposed, applied to additive and multiplicative time series models. The analysis of the results obtained using the developed computer aided system.ru_RU
dc.identifier.citationPolyvianna Y. Computer Aided System of Time Series Analysis Methods for Forecasting the Epidemics Outbreaks / Yulia Polyvianna, Dmytro Chumachenko, Tetyana Chumachenko // The Experience of Designing and Application of CAD Systems (CADSM) : 2019 15th International Conference, Polyana (Svalyava), February 26–March 2, 2019 : Conference Proceedings / IEEE Ukraine Section, IEEE Ukraine Section (West) MTT/ED/AP/EP/SSC Societies Joint Chapter, Lviv Polytechnic National University, Lodz University of Technology. – [Lviv], 2019. – P. 7/1–7/4.ru_RU
dc.identifier.urihttps://repo.knmu.edu.ua/handle/123456789/22964
dc.language.isoenru_RU
dc.subjectforecasting of time seriesru_RU
dc.subjectforecasting the epidemic processru_RU
dc.subjectmethod of exponential smoothingru_RU
dc.subjectbrown polynomial modelru_RU
dc.subjectadaptive Holt methodru_RU
dc.titleComputer Aided System of Time Series Analysis Methods for Forecasting the Epidemics Outbreaksru_RU
dc.typeArticle

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