Mazzetta, Chiara, Morgan, Byron J. T., 1946- and Coulson, Tim (2010) A state-space modelling approach to population size estimation. Working Paper. University of Warwick. Centre for Research in Statistical Methodology, Coventry.

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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)
Subjects:	Q Science > QA Mathematics Q Science > QL Zoology
Divisions:	Faculty of 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
Date:	2010
Volume:	Vol.2010
Number:	No.4
Number of Pages:	27
Status:	Not Peer Reviewed
Access rights to Published version:	Open Access
Funder:	Engineering and Physical Sciences Research Council (EPSRC), University of Warwick. Centre for Research in Statistical Methodology
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URI:	http://wrap.warwick.ac.uk/id/eprint/35069

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