Modeling and forecasting number of confirmed and death caused COVID-19 in IRAN: A comparison of time series forecasting methods.

Talkhi, Nasrin; Akhavan Fatemi, Narges; Ataei, Zahra; Jabbari Nooghabi, Mehdi

Talkhi, Nasrin; Akhavan Fatemi, Narges; Ataei, Zahra; Jabbari Nooghabi, Mehdi.

Afiliación

Talkhi N; Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Akhavan Fatemi N; Department of Statistics, Ferdowsi University of Mashhad, Mashhad, Iran.
Ataei Z; Department of Statistics, Ferdowsi University of Mashhad, Mashhad, Iran.
Jabbari Nooghabi M; Department of Statistics, Ferdowsi University of Mashhad, Mashhad, Iran.

Biomed Signal Process Control ; 66: 102494, 2021 Apr.

Article en En | MEDLINE | ID: mdl-33594301

Palabras clave

ARIMA; BSTS; COVID-19; Forecasting; Hybrid model; NNETAR; Time series

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biomed Signal Process Control Año: 2021 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Reino Unido

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