Besbeas, Panagiotis, Lebreton, Jean-Dominique, Morgan, Byron J. T. (2003) The efficient integration of abundance and demographic data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 52 (1). pp. 95-102. ISSN 0035-9254. (doi:10.1111/1467-9876.00391) (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) (KAR id:6757)
| 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. | |
| Official URL: http://dx.doi.org/10.1111/1467-9876.00391 |
Abstract
A drawback of a new method for integrating abundance and mark-recapture-recovery data is the need to combine likelihoods describing the different data sets. Often these likelihoods will be formed by using specialist computer programs, which is an obstacle to the joint analysis. This difficulty is easily circumvented by the use of a multivariate normal approximation. We show that it is only necessary to make the approximation for the parameters of interest in the joint analysis. The approximation is evaluated on data sets for two bird species and is shown to be efficient and accurate.
| Item Type: | Article |
|---|---|
| DOI/Identification number: | 10.1111/1467-9876.00391 |
| Uncontrolled keywords: | Census data • Computational efficiency • Kalman filter • Multivariate normal approximation • Ring–recovery data • State space |
| Subjects: | Q Science > QA Mathematics (inc Computing science) |
| Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
| Depositing User: | Judith Broom |
| Date Deposited: | 09 Sep 2008 06:02 UTC |
| Last Modified: | 05 Nov 2024 09:39 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/6757 (The current URI for this page, for reference purposes) |
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