Truncation data analysis for the under-reporting probability in COVID-19 pandemic

DOI10.1080/10485252.2021.1989426OpenAlexW3205414509MaRDI QIDQ5102529

Wei Liang, Hongsheng Dai, Marialuisa Restaino

Publication date: 23 September 2022

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485252.2021.1989426

zbMATH Keywords

truncationhypothesis testunder-reportinglarge sample theoryCOVID-19

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20)

Related Items (1)

Introduction to the special issue on Data Science for COVID-19

Cites Work

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