Rejoinder: Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data. Issue 536 (2nd October 2021)

Record Type:: Journal Article
Title:: Rejoinder: Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data. Issue 536 (2nd October 2021)
Main Title:: Rejoinder: Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data
Authors:: Quick, Corbin
Dey, Rounak
Lin, Xihong
Abstract:
Is Part Of:: Journal of the American Statistical Association. Volume 116:Issue 536(2021)
Journal:: Journal of the American Statistical Association
Issue:: Volume 116:Issue 536(2021)
Issue Display:: Volume 116, Issue 536 (2021)
Year:: 2021
Volume:: 116
Issue:: 536
Issue Sort Value:: 2021-0116-0536-0000
Page Start:: 1591
Page End:: 1594
Publication Date:: 2021-10-02
Subjects:: Statistics -- Periodicals
Statistics -- Periodicals
Statistiques -- Périodiques
États-Unis -- Statistiques -- Périodiques
519.5
Journal URLs:: http://www.jstor.org/journals/01621459.html ↗
http://www.ingentaconnect.com/content/asa/jasa ↗
http://www.tandfonline.com/loi/uasa20 ↗
http://www.tandfonline.com/ ↗
DOI:: 10.1080/01621459.2021.2001340 ↗
Languages:: English
ISSNs:: 0162-1459
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - 4694.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store
Ingest File:: 20215.xml