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  4. Vol 4, Issue 1, 2024

Multiple Systems Estimation Based on Hidden Population Estimation

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DOI: 10.23977/tracam.2024.040117 | Downloads: 4 | Views: 372

Author(s)

Yihua Zou 1

Affiliation(s)

1 Faculty of Social Sciences, University of Southampton, Southampton, UK

Corresponding Author

Yihua Zou

ABSTRACT

The multiple system estimation (MSE) method is a way of estimating the population size based on samples from two or more sources. Wildlife biologists first used it to estimate the number of wild animals, such as fish, insects and birds in a certain area, but it is now being used in the study of human disease and health, and its theory also along with the development of biostatistics and continually improved. In general, researchers will use the MSE to estimate some hidden populations that are not easily detected and consider log-linear models to explain the effects of list or covariates and their interactions on total population size and apply bootstrapping to calculate their confidence intervals.

KEYWORDS

Multiple systems estimation (MSE); Log-linear model; Population size; Model selection; Bootstrap

CITE THIS PAPER

Yihua Zou, Multiple Systems Estimation Based on Hidden Population Estimation. Transactions on Computational and Applied Mathematics (2024) Vol. 4: 128-136. DOI: http://dx.doi.org/10.23977/tracam.2024.040117.

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