Capture-Recapture: Parameter Estimation for Open Animal Populations
This comprehensive book, rich with applications, offers a quantitative framework for the analysis of the various capture-recapture models for open animal populations, while also addressing associated computational methods. The state of our wildlife populations provides a litmus test for the state of...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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Έκδοση: | 1st ed. 2019. |
Σειρά: | Statistics for Biology and Health,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Preface
- 1 A Brief History of Capture-Recapture
- 2 Tagging methods and Tag Loss
- 3 Tag Returns from Dead Animals
- 4 Using Releases and Resightings
- 5 Mark-Recapture: Basic Models
- 6 Multiple Recaptures: Further Methods
- 7 Departures from Model Assumptions
- 8 Combined Data Models
- 9 Further Bayesian and Monte Carlo Recapture Methods
- 10 Log-Linear Models for Multiple Recaptures
- 11 Combining Open and Closed Models
- 12 Continuous Dead-Recovery Models
- 13 Multisite and StateSpace Models
- 14 Designing and Modeling Capture-Recapture Experiments
- 15 Statistical Computation
- 16 Where to Now?
- APPENDIX A Some General Results
- References
- Index.