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Bayesian shared frailty models for regional inference about wildlife survival

Bayesian shared frailty models for regional inference about wildlife survival Read the Commentaries on this Feature Paper: Combining information in hierarchical models improves inferences in population ecology and demographic population analyses; 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Animal Conservation Wiley

Bayesian shared frailty models for regional inference about wildlife survival

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References (34)

Publisher
Wiley
Copyright
Animal Conservation © 2012 The Zoological Society of London
ISSN
1367-9430
eISSN
1469-1795
DOI
10.1111/j.1469-1795.2011.00495.x
Publisher site
See Article on Publisher Site

Abstract

Read the Commentaries on this Feature Paper: Combining information in hierarchical models improves inferences in population ecology and demographic population analyses; 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

Journal

Animal ConservationWiley

Published: Apr 1, 2012

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