King, R. and Brooks, S.P. and Morgan, B.J.T. and Coulson, T. (2006) Factors influencing soay sheep survival: A Bayesian analysis. Biometrics, 62 (1). pp. 211-220. ISSN 0006-341X.
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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.
|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:||14 Jan 2010 14:40|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/10506 (The current URI for this page, for reference purposes)|
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