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Structurally missing data problems in multiple list capture–recapture data

Structurally missing data problems in multiple list capture–recapture data
Structurally missing data problems in multiple list capture–recapture data
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.
capture–recapture, covariate, missing data
1863-8171
5-21
van der Heijden, Peter G.M.
85157917-3b33-4683-81be-713f987fd612
Zwane, Eugene
ef2c23c1-2c94-40c1-8ba2-f335a3858c1b
Hessen, David
5d13d66f-dcb7-43c0-9722-4b81649d440d
van der Heijden, Peter G.M.
85157917-3b33-4683-81be-713f987fd612
Zwane, Eugene
ef2c23c1-2c94-40c1-8ba2-f335a3858c1b
Hessen, David
5d13d66f-dcb7-43c0-9722-4b81649d440d

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), 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
ORCID for Peter G.M. van der Heijden: ORCID iD orcid.org/0000-0002-3345-096X

Catalogue record

Date deposited: 26 Oct 2012 13:34
Last modified: 15 Mar 2024 03:46

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Contributors

Author: Eugene Zwane
Author: David Hessen

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