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On the statistical analysis of capture experiments
Abstract
A procedure is given for estimating the size of a closed population in the presence of heterogeneous capture probabilities using capture-recapture data when it is possible to model the capture probabilities of individuals in the population using covariates. The results include the estimation of the parameters associated with the model of the capture probabilities and the use of these estimated capture probabilities to estimate the population size. Confidence intervals for the population size using both the asymptotic normality of the estimator and a bootstrap procedure for small samples are given.
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Cited by
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SMITH, D. W., DRUMMER, T. D., MURPHY, K. M., GUERNSEY, D. S., & EVANS, S. B. (2004) · Journal of Wildlife Management · doi:10.2193/0022-541x(2004)068[0153:wpsaeo]2.0.co;2 · Cited by 191
Using simulation to compare methods for estimating density from capture–recapture data
Ivan, J. S., White, G. C., & Shenk, T. M. (2013) · Ecology · doi:10.1890/12-0102.1 · Cited by 57
Abundance and Size Structure of Shortnose Sturgeon in the Altamaha River, Georgia
Peterson, D. L., & Bednarski, M. S. (2013) · Transactions of the American Fisheries Society · doi:10.1080/00028487.2013.802254 · Cited by 18
Status of the Shortnose Sturgeon Population in the Savannah River, Georgia
Bahr, D. L., & Peterson, D. L. (2017) · Transactions of the American Fisheries Society · doi:10.1080/00028487.2016.1245215 · Cited by 11
Habitat associations of small mammal communities in a restored prairie system in southern Illinois
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Metadata
- Authors
- HUGGINS, R. M.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1989
- Volume
- 76
- Issue
- 1
- Pages
- 133-140
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W1968600318
- Cited by
- 755
- References
- 0
- FWCI
- 2.76
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
