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Random effects and shrinkage estimation in capture-recapture models

January 1, 2002

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 Year 2002
Title Random effects and shrinkage estimation in capture-recapture models
Authors J. Andrew Royle, W. A. Link
Publication Type Book Chapter
Publication Subtype Book Chapter
Index ID 5211160
Record Source USGS Publications Warehouse
USGS Organization Patuxent Wildlife Research Center