Factors influencing soay sheep survival: A Bayesian analysis

King, Ruth and Brooks, Stephen P. and Morgan, Byron J. T. and Coulson, Tim (2006) Factors influencing soay sheep survival: A Bayesian analysis. Biometrics, 62 (1). pp. 211-220. ISSN 0006-341X. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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This article presents a Bayesian analysis of mark-recapture-recovery data on Soay sheep. A reversible jump Markov chain Monte Carlo technique is used to determine age classes of common survival, and to model the survival probabilities in those classes using logistic regression. This involves environmental and individual covariates, as well as random effects. Auxiliary variables are used to impute missing covariates measured on individual sheep. The Bayesian approach suggests different models from those previously obtained using classical statistical methods. Following model averaging, features that were not previously detected, and which are of ecological importance, are identified.

Item Type: Article
Uncontrolled keywords: age classes; annual survival; auxiliary variables; Bayesian p-values; goodness of fit; logistic regression; mark-recapture-recovery; model averaging; North Atlantic Oscillation; random effects; reversible jump Markov chain Monte Carlo; senescence; soay sheep; trans-dimensional simulated annealing
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: 05 Sep 2008 23:03
Last Modified: 28 May 2014 08:45
Resource URI: https://kar.kent.ac.uk/id/eprint/10506 (The current URI for this page, for reference purposes)
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