‘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 | Zendy

Cam E. | Zendy

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‘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

Author(s) -

Cam E.

Publication year - 2012

Publication title -

animal conservation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.111

H-Index - 85

eISSN - 1469-1795

pISSN - 1367-9430

DOI - 10.1111/j.1469-1795.2012.00533.x

Subject(s) - inference , wildlife , bayesian inference , bayesian probability , population , ecology , approximate bayesian computation , geography , econometrics , statistics , computer science , biology , demography , artificial intelligence , mathematics , sociology

Read the Feature Paper: Bayesian shared frailty models for regional inference about wildlife survival Other Commentaries on this 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 Response from the authors: ‘Exciting statistics’: the rapid development and promising future of hierarchical models for population ecology

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