Abstract
The use of conditional likelihood methods in the analysis of capture data allows the modeling of capture probabilities in terms of observable characteristics of the captured individuals and the trapping occasions. The resulting models may then be used to estimate the size of the population. Here the use of conditional likelihood procedures to construct models for capture probabilities is discussed and illustrated by an example.
Keywords
Maximum likelihoodComputer scienceConditional probabilityConstruct (python library)EconometricsStatisticsPopulationConditional probability distributionMathematics
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Publication Info
- Year
- 1991
- Type
- article
- Volume
- 47
- Issue
- 2
- Pages
- 725-725
- Citations
- 497
- Access
- Closed
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Cite This
Richard Huggins
(1991).
Some Practical Aspects of a Conditional Likelihood Approach to Capture Experiments.
Biometrics
, 47
(2)
, 725-725.
https://doi.org/10.2307/2532158
Identifiers
- DOI
- 10.2307/2532158