Editorial to the special issue: statistical perspectives on analytics for COVID-19 data

Journal article

Peer reviewed

Arnold Stromberg, Jie Chen, Teresa Paula Costa Azinheira Oliveira, Yichuan Zhao, Ramin Moghaddass and Milan Stehlik

Journal of applied statistics, Vol.50(11-12), pp.2287-2293

2023-09-10

PMID: 37529568

Abstract

Mathematics

Physical Sciences

Science & Technology

Statistics & Probability

url

https://doi.org/10.1080/02664763.2023.2228597View

Published (Version of record) Open

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Title: Editorial to the special issue: statistical perspectives on analytics for COVID-19 data
Creators: Arnold Stromberg - University of Kentucky
Jie Chen - Augusta University
Teresa Paula Costa Azinheira Oliveira - Univ Aberta, Lisbon, Portugal
Yichuan Zhao - Georgia State University
Ramin Moghaddass - University of Miami
Milan Stehlik - University of Valparaíso
Publication Details: Journal of applied statistics, Vol.50(11-12), pp.2287-2293
Publisher: Taylor & Francis
Number of pages: 7
Academic Unit: CoE - Industrial Engineering; College of Engineering
Language: English
Resource Type: Journal article
PMID: 37529568
Record Identifier: 991032796255202976