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Abstract
We discuss the analysis of random effects in capture-recapture models, and outline Bayesian and frequentists approaches to their analysis. Under a normal model, random effects estimators derived from Bayesian or frequentist considerations have a common form as shrinkage estimators. We discuss some of the difficulties of analysing random effects using traditional methods, and argue that a Bayesian formulation provides a rigorous framework for dealing with these difficulties. In capture-recapture models, random effects may provide a parsimonious compromise between constant and completely time-dependent models for the parameters (e.g. survival probability). We consider application of random effects to band-recovery models, although the principles apply to more general situations, such as Cormack-Jolly-Seber models. We illustrate these ideas using a commonly analysed band recovery data set.
| Publication type | Book chapter |
|---|---|
| Publication Subtype | Book Chapter |
| Title | Random effects and shrinkage estimation in capture-recapture models |
| Year Published | 2002 |
| Language | English |
| Contributing office(s) | Patuxent Wildlife Research Center |
| Description | 669 |
| Larger Work Type | Book |
| Larger Work Subtype | Other Government Series |
| Larger Work Title | Statistical analysis of data from marked bird populations |
| First page | 329 |
| Last page | 351 |
| Google Analytic Metrics | Metrics page |