Transfer function model for COVID-19 deaths in USA using case counts as input series

DOI10.1007/S40840-022-01332-XzbMath1496.62192OpenAlexW4282922459MaRDI QIDQ2089392

Fahmida Akter Shahela, Nizam Uddin

Publication date: 6 October 2022

Published in: Bulletin of the Malaysian Mathematical Sciences Society. Second Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40840-022-01332-x

zbMATH Keywords

white noisestationaritytime series analysisARIMAAICroot mean square errorforecastsmean absolute percentage errorcross-correlationsmean absolute errortransfer function modelCOVID-19 cases and deathsSBC

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Uses Software

• SAS
• SAS/STAT
• SAS/ETS

Cites Work

• Time series forecasting of COVID-19 transmission in Canada using LSTM networks
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