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Structurally missing data problems in multiple list capture–recapture data

van der Heijden, Peter G.M., Zwane, Eugene and Hessen, David (2009) Structurally missing data problems in multiple list capture–recapture data AStA Advances in Statistical Analysis, 93, (1), pp. 5-21. (doi:10.1007/s10182-008-0098-6).

Record type: Article

Abstract

Multiple-list capture–recapture data can be used to estimate the size of a population. In this manuscript two problems are studied and solved using a common solution. The first problem is that the lists refer to different but overlapping populations. An example is that lists refer to different but overlapping regions, different but overlapping periods in time, or different but overlapping age groups. The second problem is that each list has a set of covariates and the sets of covariates are not identical. By considering both problems as missing data problems, a solution is obtained through the EM algorithm. This approach is illustrated by two examples.

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More information

Published date: March 2009
Keywords: capture–recapture, covariate, missing data
Organisations: Statistical Sciences Research Institute

Identifiers

Local EPrints ID: 344673
URI: http://eprints.soton.ac.uk/id/eprint/344673
ISSN: 1863-8171
PURE UUID: 1180c563-2667-437e-8f41-09841ce4232f

Catalogue record

Date deposited: 26 Oct 2012 13:34
Last modified: 18 Jul 2017 05:14

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Contributors

Author: Eugene Zwane
Author: David Hessen

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