Please use this identifier to cite or link to this item: http://repo.knmu.edu.ua/handle/123456789/22964
Title: Computer Aided System of Time Series Analysis Methods for Forecasting the Epidemics Outbreaks
Authors: Polyvianna, Yulia
Chumachenko, Dmytro
Chumachenko, Tetyana
Keywords: forecasting of time series
forecasting the epidemic process
method of exponential smoothing
brown polynomial model
adaptive Holt method
Issue Date: 26-Feb-2019
Citation: Polyvianna 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.
Abstract: The 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.
URI: https://repo.knmu.edu.ua/handle/123456789/22964
Appears in Collections:Наукові праці. Кафедра епідеміології

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