2010
DOI: 10.1525/auk.2009.09015
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A General Bayesian Hierarchical Model for Estimating Survival of Nests and Young

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Cited by 56 publications
(71 citation statements)
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“…2012). We used hierarchical models in a Bayesian framework to test the influence of our covariates on DSR (Royle and Dorazio 2008, Schmidt et al 2010, Brown and Collopy 2012. DSR was expressed as independent Bernoulli trials each day, for each nest over the course of the nesting season.…”
Section: Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…2012). We used hierarchical models in a Bayesian framework to test the influence of our covariates on DSR (Royle and Dorazio 2008, Schmidt et al 2010, Brown and Collopy 2012. DSR was expressed as independent Bernoulli trials each day, for each nest over the course of the nesting season.…”
Section: Modelmentioning
confidence: 99%
“…DSR was expressed as independent Bernoulli trials each day, for each nest over the course of the nesting season. We used information on (1) the day the nest was located, (2) the last day the nest was seen occupied, and (3) the last day the nest was checked to build our capture history (Schmidt et al 2010). We used an information-theoretic approach for model selection in which we ranked competing models using the Deviance Information Criteria (DIC; Spiegelhalter et al 2002).…”
Section: Modelmentioning
confidence: 99%
“…The nest survival model in Program MARK is a variation on the known fate model and was devised for situations in which the exact day of mortality is not determined, usually due to monitoring not occurring on a daily basis (Rotella 2010). The nest survival model can also be applied to radio telemetry survival data such as that collected in this study (Schmidt et al 2006;Schwartz et al 2006;Mong & Sandercock 2007;Schmidt et al 2010). Program MARK robustly handles partial monitoring histories, such as those obtained from birds that shed their transmitters, or died, partway through the study (Rotella 2010).…”
Section: Calculating Fernbird Survivorshipmentioning
confidence: 99%
“…Recently, more sophisticated models have been developed to estimate nest survival (Dinsmore et al 2002, Rotella et al 2004, Shaffer 2004, Schmidt et al 2010. The main advantage of nest survival models is that they allow evaluation of the influence of continuous covariates on nesting success.…”
mentioning
confidence: 99%
“…In addition, they do not consider survival of individual eggs or young and therefore do not estimate productivity per pair (but see Schmidt et al 2010). One approach is to calculate the reproductive rate as the product of nest survival, percent of pairs laying, and brood size at fledging.…”
mentioning
confidence: 99%