Estimating population size of heterogeneous populations with large data sets and a large number of parameters

DOI10.1016/j.csda.2019.04.016OpenAlexW2944476428WikidataQ127944129 ScholiaQ127944129MaRDI QIDQ2002715

Huazhen Lin, Haoqi Li, Paul S. F. Yip, Yu'an Li

Publication date: 12 July 2019

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2019.04.016

zbMATH Keywords

maximum likelihood estimatorlarge data setdrug abusersgeneralized partial linear regression modelmultiple-list

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)

Related Items (1)

Estimating the size of an open population with massive datasets based on a generalized varying-coefficient model

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