The analysis of ring-recovery data using random effects

Barry, S.C. and Brooks, Stephen P. and Catchpole, Edward A. and Morgan, Byron J. T. (2003) The analysis of ring-recovery data using random effects. Biometrics, 59 (1). pp. 54-65. ISSN 0006-341X. (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1111/1541-0420.00007

Abstract

We show how random terms, describing both yearly variation and overdispersion, can easily be incorporated into models for mark-recovery data, through the use of Bayesian methods. For recovery data on lapwings, we show that the incorporation of the random terms greatly improves the goodness of fit. Omitting the random terms can lead to overestimation of the significance of weather on survival, and overoptimistic prediction intervals in simulations of future population behavior. Random effects models provide a natural way of modeling overdispersion-which is more satisfactory than the standard classical approach of scaling up all standard errors by a uniform inflation factor. We compare models by means of Bayesian a-values and the deviance information criterion (DIC).

Item Type: Article
Uncontrolled keywords: AIC; band-return; Bayesian p-values; DIC; lapwings; MCMC LAPWINGS VANELLUS-VANELLUS; SURVIVAL ESTIMATION; BAYESIAN-ANALYSIS; MARKED ANIMALS; MODELS; RATES
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics
Depositing User: Judith Broom
Date Deposited: 09 Sep 2008 06:33
Last Modified: 12 Jun 2014 08:31
Resource URI: http://kar.kent.ac.uk/id/eprint/10485 (The current URI for this page, for reference purposes)
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