McCrea, Rachel S. and Morgan, Byron J. T. and Gimenez, Olivier and Besbeas, Panagiotis and Lebreton, Jean-Dominique and Bregnballe, Thomas (2010) Multi-site integrated population modelling. Journal of Agricultural, Biological, and Environmental Statistics, 15 (4). pp. 539-561. ISSN 1085-7117. (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)
We examine the performance of a method of integrated population modelling for the joint analysis of different types of demographic data on individuals that exist in, and move between, different sites. The value of the approach is demonstrated by a simulation study which shows substantial improvement in parameter estimation when site-specific census data are combined with demographic data. The multivariate normal approximation to a multi-state mark-recapture likelihood is evaluated, and the performance of a diagonal variance-covariance matrix for the approximation is also examined. The work is motivated by a study of great cormorants. Analysis of the cormorant data suggests that breeders survive better than non-breeders, and also that probabilities of recruitment to breeding have been declining over time for all the colonies of the study. Supplementary material, including notes on the computation of standard errors and extended simulation results, are available online.
|Subjects:||Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics|
|Depositing User:||Rachel McCrea|
|Date Deposited:||24 Jan 2011 12:46|
|Last Modified:||30 May 2014 13:56|
|Resource URI:||https://kar.kent.ac.uk/id/eprint/26294 (The current URI for this page, for reference purposes)|