A state-space modelling approach to population size estimation
Mazzetta, Chiara, Morgan, Byron J. T., 1946- 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).
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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|
|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|Status:||Not Peer Reviewed|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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