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).

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Description/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.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1007/s10182-008-0098-6
ISSNs: 1863-8171 (print)
Keywords: capture–recapture, covariate, missing data
Subjects:
Organisations: Statistical Sciences Research Institute
ePrint ID: 344673
Date :
Date Event
March 2009Published
Date Deposited: 26 Oct 2012 13:34
Last Modified: 17 Apr 2017 16:26
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/344673

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