Re-visiting the COVID-19 analysis using the class of high ordered integer-valued time series models with harmonic features

The COVID-19 series is obviously one of the most volatile time series with lots of spikes and oscillations. The conventional integer-valued auto-regressive time series models (INAR) may be limited to account for such features in COVID-19 series such as severe over-dispersion, excess of zeros, period...

Descripción completa

Detalles Bibliográficos
Autores principales: Khan, Naushad Mamode, Soobhug, Ashwinee Devi, Youssef, Noha, Fedally, Swalay, Nadarajah, Saralees, Heetun, Zaid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Inc. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361638/
https://www.ncbi.nlm.nih.gov/pubmed/37520619
http://dx.doi.org/10.1016/j.health.2022.100086

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361638/
https://www.ncbi.nlm.nih.gov/pubmed/37520619
http://dx.doi.org/10.1016/j.health.2022.100086

Ejemplares similares