Journal article · 2023
Monitoring SEIRD model parameters using MEWMA for the COVID-19 pandemic with application to the state of Qatar
Journal of Applied Statistics · 50(2), 231–246 · 2023
Profile monitoring and control chartsPublic health and biostatistics
Details
- Type
- Journal article
- Year
- 2023
- Journal
- Journal of Applied Statistics
- Volume
- 50
- Issue
- 2
- Pages
- 231–246
- Publisher
- Informa UK Limited
- DOI
- 10.1080/02664763.2021.1985091
- Open access
- Unpaywall (repository)
Cite this work
Citation
Edward L. Boone, Abdel-Salam G. Abdel-Salam, Indranil Sahoo, Ryad Ghanam, Xi Chen, Aiman Hanif (2023). Monitoring SEIRD model parameters using MEWMA for the COVID-19 pandemic with application to the state of Qatar. Journal of Applied Statistics, 50(2), 231–246. https://doi.org/10.1080/02664763.2021.1985091
BibTeX Download .bib
@article{boone2023monitoring,
author = {Edward L. Boone and Abdel-Salam G. Abdel-Salam and Indranil Sahoo and Ryad Ghanam and Xi Chen and Aiman Hanif},
title = {Monitoring SEIRD model parameters using MEWMA for the COVID-19 pandemic with application to the state of Qatar},
year = {2023},
journal = {Journal of Applied Statistics},
volume = {50},
number = {2},
pages = {231--246},
publisher = {Informa UK Limited},
doi = {10.1080/02664763.2021.1985091}
}
RIS Download .ris
TY - JOUR AU - Edward L. Boone AU - Abdel-Salam G. Abdel-Salam AU - Indranil Sahoo AU - Ryad Ghanam AU - Xi Chen AU - Aiman Hanif TI - Monitoring SEIRD model parameters using MEWMA for the COVID-19 pandemic with application to the state of Qatar PY - 2023 JO - Journal of Applied Statistics VL - 50 IS - 2 SP - 231 EP - 246 PB - Informa UK Limited DO - 10.1080/02664763.2021.1985091 UR - https://doi.org/10.1080/02664763.2021.1985091 ER -