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Some Practical Aspects of a Conditional Likelihood Approach to Capture Experiments

R. M. Huggins
Biometrics
Vol. 47, No. 2 (Jun., 1991), pp. 725-732
DOI: 10.2307/2532158
Stable URL: http://www.jstor.org/stable/2532158
Page Count: 8
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Some Practical Aspects of a Conditional Likelihood Approach to Capture Experiments
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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.

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