Modify alpha value of EMA method and brown method: A data forecasting comparison of COVID-19

Syaharuddin, Syaharuddin; Negara, Habib Ratu Perwira; Ibrahim, Malik; Ahmad, Mohammad; Zulfikri, Muhammad; Primajati, Gilang; Yustitia, Via; Panggabean, Suvriadi; Rohayu, Rina; Septyanun, Nurjannah

doi:10.1063/5.0042120

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2022

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“…Thus, the simple moving average method is applied to modeling COVID-19 in Iraq [26], USA [27], Pakistan [28], Italy and Spain [29], China [30], etc. Also popular are such derivatives of the method as the exponential moving average [31][32][33], ARIMA (autoregressive moving average) [34][35][36], and SARIMA (seasonal autoregressive moving average) models [37][38][39].…”

Section: Statistical Modelsmentioning

confidence: 99%

Simulation of Epidemic Processes: A Review of Modern Methods, Models and Approaches

Chumachenko

2022

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The paper is devoted to an overview of the current state of research on the modeling of epidemic processes. The classification of mathematical and simulation models of epidemic processes is carried out. The disadvantages of classical models are revealed. Specific characteristics inherent in epidemic processes have been determined, which must be taken into account when constructing mathematical and simulation models. A review of deterministic compartment models is carried out. Various methods and approaches to the construction of statistical models of epidemic processes are considered. The types of problems that are solved using machine learning are analyzed.

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Section: Statistical Modelsmentioning

confidence: 99%

Simulation of Epidemic Processes: A Review of Modern Methods, Models and Approaches

Chumachenko

2022

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show abstract

Modify alpha value of EMA method and brown method: A data forecasting comparison of COVID-19

Cited by 1 publication

References 15 publications

Simulation of Epidemic Processes: A Review of Modern Methods, Models and Approaches

Simulation of Epidemic Processes: A Review of Modern Methods, Models and Approaches

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