Random effects and shrinkage estimation in capture-recapture models

EURING 2000 Conference, Point Reyes, California, October 1-7. PDF on file: 5826_Royle.pdf
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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
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