You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. 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
R. M. Huggins
Vol. 47, No. 2 (Jun., 1991), pp. 725-732
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2532158
Page Count: 8
You can always find the topics here!Topics: Statistical models, Population estimates, Parametric models, Population size, Probabilities, Conditional probabilities, Datasets, Statistics, Statistical estimation, Biometrics
Were these topics helpful?See something inaccurate? Let us know!
Select the topics that are inaccurate.
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.
Preview not available
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.
Biometrics © 1991 International Biometric Society