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A state-space modelling approach to population size estimation
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Mazzetta, Chiara, Morgan, Byron J. T. and Coulson, Tim (2010) A state-space modelling approach to population size estimation. Working Paper. Coventry: University of Warwick. Centre for Research in Statistical Methodology. Working papers, Vol.2010 (No.4).
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Official URL: http://www2.warwick.ac.uk/fac/sci/statistics/crism...
Abstract
We consider populations of wild animals that are closely monitored over time,
by being recaptured on multiple occasions, until finally recovered dead or lost
to follow up. We propose a state-space formulation that enables us to estimate,
simultaneously: time-varying size, demographic composition and geographical
dispersal of an open population. Simulations show that our method is robust
to low proportions of monitored individuals. Parameters are estimated with
MCMC methods within a fully Bayesian approach and our model is applied to
a real population for which we are able to provide new results.
Item Type: | Working or Discussion Paper (Working Paper) | ||||
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Subjects: | Q Science > QA Mathematics Q Science > QL Zoology |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||
Library of Congress Subject Headings (LCSH): | Animal populations -- Statistical methods, Animal populations -- Mathematical models, State-space methods | ||||
Series Name: | Working papers | ||||
Publisher: | University of Warwick. Centre for Research in Statistical Methodology | ||||
Place of Publication: | Coventry | ||||
Official Date: | 2010 | ||||
Dates: |
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Volume: | Vol.2010 | ||||
Number: | No.4 | ||||
Number of Pages: | 27 | ||||
Status: | Not Peer Reviewed | ||||
Access rights to Published version: | Open Access (Creative Commons) | ||||
Date of first compliant deposit: | 1 August 2016 | ||||
Date of first compliant Open Access: | 1 August 2016 | ||||
Funder: | Engineering and Physical Sciences Research Council (EPSRC), University of Warwick. Centre for Research in Statistical Methodology |
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