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Open access
Taylor & Francis
Statistical Theory and Related Fields
,  pages 1-12

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

Publication type: Journal Article
Publication date: 2022-12-20
Taylor & Francis
scimago Q3
wos Q2
SJR: 0.319
CiteScore: 1.2
Impact factor: 1.3
ISSN: 24754269, 24754277
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GOST Copy
Ma H. et al. A novel nonparametric mixture model for the detection pattern of COVID-19 on Diamond Princess cruise // Statistical Theory and Related Fields. 2022. pp. 1-12.
GOST all authors (up to 50) Copy
Ma H., Qin J., Chen F., Zhou Y. A novel nonparametric mixture model for the detection pattern of COVID-19 on Diamond Princess cruise // Statistical Theory and Related Fields. 2022. pp. 1-12.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1080/24754269.2022.2156743
UR - https://doi.org/10.1080/24754269.2022.2156743
TI - A novel nonparametric mixture model for the detection pattern of COVID-19 on Diamond Princess cruise
T2 - Statistical Theory and Related Fields
AU - Ma, Huijuan
AU - Qin, Jing
AU - Chen, Fang
AU - Zhou, Yong
PY - 2022
DA - 2022/12/20
PB - Taylor & Francis
SP - 1-12
SN - 2475-4269
SN - 2475-4277
ER -
BibTex
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BibTex (up to 50 authors) Copy
@article{2022_Ma,
author = {Huijuan Ma and Jing Qin and Fang Chen and Yong Zhou},
title = {A novel nonparametric mixture model for the detection pattern of COVID-19 on Diamond Princess cruise},
journal = {Statistical Theory and Related Fields},
year = {2022},
publisher = {Taylor & Francis},
month = {dec},
url = {https://doi.org/10.1080/24754269.2022.2156743},
pages = {1--12},
doi = {10.1080/24754269.2022.2156743}
}