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Description: |
xviii, 313 pages : illustrations ; 24 cm |
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Bibliography Note: |
Includes bibliographical references (pages 281-299) and index. |
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Contents Note: |
Contents: Introduction to the handbook / Bryan F.J. Manly [and others] -- Classical closed-population capture-recapture models / Anne Chao, Richard M. Huggins -- Classical open-population capture-recapture models / Kenneth H. Pollock, Russell Alpizar-Jara -- Modern closed-population capture-recapture models / Anne Chao, Richard M. Huggins -- Modern open-population capture-recapture models / James D. Nichols -- Tag-recovery models / John M. Hoenig [and others] -- Joint modeling of tag-recovery and live-resighting data / Richard J. Barker -- Multistate models / Carl J. Schwarz -- Examples / Trent L. McDonald [and others] -- Capture-recapture methods in practice / Bryan F.J. Manly [and others] -- Appendix -- A.1. Capability matrix for common capture-recapture software packages -- A.2. General and contact information for common capture-recapture software packages listed in Table A.1. |
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Summary, Etc. Note: |
Summary: Helps biologists understand state-of-the-art statistical methods for analyzing capture-recapture data. This book introduces the methods for data analysis while explaining the theory behind those methods. It is useful for biologists, biometricians, and statisticians, students in both fields, and anyone else engaged in the capture-recapture process." - publisher. |