Methods for joint inference from panel survey and demographic data

Besbeas, P. and Freeman, S.N. (2006) Methods for joint inference from panel survey and demographic data. Ecology, 87 (5). pp. 1138-1145. ISSN 0012-9658 . (The full text of this publication is not available from this repository)

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Abstract

A number of methods for joint inference from animal abundance and demographic data have been proposed in recent years, each with its own advantages. A new approach to analyzing panel survey and demographic data simultaneously is described. The approach fits population-dynamics models to the survey data, rather than to a single index of abundance derived from them and thus avoids disadvantages inherent ill analyzing such an index. The methodology is developed and illustrated with British Lapwing data, and the results are compared with those obtained from existing approaches. The estimates of demographic parameters and population indices are similar for all methods. The results of a simulation study show that the new method performs well in terms of mean squared error.

Item Type: Article
Uncontrolled keywords: integrated analysis; joint likelihood; Kalman filter; log-linear Poisson regression; mark -recapture-recovery data; population dynamics; Vanellus vanellus; weather data
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science
Depositing User: Judith Broom
Date Deposited: 03 Sep 2008 14:03
Last Modified: 08 Jun 2012 13:21
Resource URI: http://kar.kent.ac.uk/id/eprint/6717 (The current URI for this page, for reference purposes)
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