Combining information in hierarchical models improves inferences in population ecology and demographic population analyses
Read the Feature Paper: Bayesian shared frailty models for regional inference about wildlife survival Other Commentaries on this paper: Bayesian shared frailty models for regional inference about wildlife survival; ‘Each site has its own survival probability, but information is borrowed across sites...
Gespeichert in:
Veröffentlicht in: | Animal conservation 2012-04, Vol.15 (2), p.125-126 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Read the Feature Paper: Bayesian shared frailty models for regional inference about wildlife survival
Other Commentaries on this paper: Bayesian shared frailty models for regional inference about wildlife survival; ‘Each site has its own survival probability, but information is borrowed across sites to tell us about survival in each site’: random effects models as means of borrowing strength in survival studies of wild vertebrates
Response from the authors: ‘Exciting statistics’: the rapid development and promising future of hierarchical models for population ecology |
---|---|
ISSN: | 1367-9430 1469-1795 |
DOI: | 10.1111/j.1469-1795.2012.00531.x |