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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Efficient empirical likelihood inference for recovery rate of COVID19 under double-censoring

Lookup NU author(s): Professor Hongsheng DaiORCiD

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Publication metadata

Author(s): Hu J, Liang W, Dai H, Bao Y

Publication type: Article

Publication status: Published

Journal: Journal of Statistical Planning and Inference

Year: 2022

Volume: 221

Pages: 172-187

Print publication date: 01/12/2022

Online publication date: 07/05/2022

Acceptance date: 26/04/2022

ISSN (print): 0378-3758

ISSN (electronic): 1873-1171

Publisher: Elsevier BV

URL: https://doi.org/10.1016/j.jspi.2022.04.005

DOI: 10.1016/j.jspi.2022.04.005


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