A novel nonparametric mixture model for the detection pattern of COVID-19 on Diamond Princess cruise

Autor:	Huijuan Ma, Jing Qin, Fang Chen, Yong Zhou
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	cure model logistic regression maximum likelihood estimator mixture Probabilities. Mathematical statistics QA273-280
Zdroj:	Statistical Theory and Related Fields, Vol 7, Iss 1, Pp 85-96 (2023)
Druh dokumentu:	article
ISSN:	2475-4269 2475-4277 24754269
DOI:	10.1080/24754269.2022.2156743
Popis:	The outbreak of COVID-19 on the Diamond Princess cruise ship has attracted much attention. Motivated by the PCR testing data on the Diamond Princess, we propose a novel cure mixture nonparametric model to investigate the detection pattern. It combines a logistic regression for the probability of susceptible subjects with a nonparametric distribution for the detection of infected individuals. Maximum likelihood estimators are proposed. The resulting estimators are shown to be consistent and asymptotically normal. Simulation studies demonstrate that the proposed approach is appropriate for practical use. Finally, we apply the proposed method to PCR testing data on the Diamond Princess to show its practical utility.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/fb6d8259e2d040b9a1000d5abb016e56 Zobrazit plný text záznamu View record in DOAJ