Lebreton, Jean-Dominique, Morgan, Byron J. T., Pradel, Roger, Freeman, Stephen N. (1995) A simultaneous survival rate analysis of dead recovery and live recapture data. Biometrics, 51 (4). pp. 1418-1428. ISSN 0006-341X. (doi:10.2307/2533272) (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:19333)
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/10.2307/2533272 |
Abstract
In long term studies on birds one frequently encounters both dead recovery data, from birds marked as young, and live recapture data, typically from birds ringed as breeding adults. However the two types of data have usually been analysed separately, using different computer software. In this paper we show how related but independent sets of recovery and recapture data may conveniently be analysed simultaneously using just one computer package for model fitting by maximum likelihood. A weighted least squares analysis provides a direct way of assessing the relative contributions of the two types of information. Data on the Herring Gull Larus argentatus are used to illustrate the approach. By showing how recovery information can be analysed by the program SURGE, we provide a useful tool for the analysis of such data.
Item Type: | Article |
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DOI/Identification number: | 10.2307/2533272 |
Uncontrolled keywords: | Akaike's Information Criterion; avian survival; capture recapture data; combining data; computer software; estimation; Herring Gull; hypothesis testing; maximum likelihood; population dynamics; ring recovery data; simultaneous analysis; weighted least squares |
Subjects: | Q Science |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
Depositing User: | O.O. Odanye |
Date Deposited: | 07 Jun 2009 22:10 UTC |
Last Modified: | 05 Nov 2024 09:55 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/19333 (The current URI for this page, for reference purposes) |
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