Special feature: statistics for COVID-19 pandemic data

Koji Kurihara

Research output: Contribution to journal › Editorial › peer-review

Original language	English
Journal	Japanese Journal of Statistics and Data Science
DOIs	https://doi.org/10.1007/s42081-022-00166-y
Publication status	Accepted/In press - 2022
Externally published	Yes

ASJC Scopus subject areas

@article{e6b1a699cfda45449f9ae9eadfd9aab1,

title = "Special feature: statistics for COVID-19 pandemic data",

author = "Koji Kurihara",

year = "2022",

doi = "10.1007/s42081-022-00166-y",

language = "English",

journal = "Japanese Journal of Statistics and Data Science",

issn = "2520-8764",

publisher = "Springer Science and Business Media B.V.",

}

TY - JOUR

T1 - Special feature

T2 - statistics for COVID-19 pandemic data

AU - Kurihara, Koji

PY - 2022

Y1 - 2022

UR - http://www.scopus.com/inward/record.url?scp=85131330376&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85131330376&partnerID=8YFLogxK

U2 - 10.1007/s42081-022-00166-y

DO - 10.1007/s42081-022-00166-y

M3 - Editorial

AN - SCOPUS:85131330376

SN - 2520-8764

JO - Japanese Journal of Statistics and Data Science

JF - Japanese Journal of Statistics and Data Science

ER -