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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Seber, George A. F. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Schofield, Matthew R. (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Statistics for Biology and Health,
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.