NDLI: Multi-Site Integrated Population Modelling

Content Provider	Springer Nature Link
Author	McCrea, R. S. Morgan, B. J. T. Gimenez, O. Besbeas, P. Lebreton, J. D. Bregnballe, T.
Copyright Year	2010
Abstract	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.
Starting Page	539
Ending Page	561
Page Count	23
File Format	PDF
ISSN	10857117
Journal	Journal of Agricultural, Biological, and Environmental Statistics
Volume Number	15
Issue Number	4
e-ISSN	15372693
Language	English
Publisher	Springer New York
Publisher Date	2010-12-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Great cormorant Kalman filter Mark-recapture data Phalacrocorax carbo Recruitment State-space models Statistics for Life Sciences, Medicine, Health Sciences Agriculture Monitoring/Environmental Analysis Biostatistics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Statistics and Probability Environmental Science Agricultural and Biological Sciences Statistics, Probability and Uncertainty

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