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), 5-21. (doi:10.1007/s10182-008-0098-6).
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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.
|Digital Object Identifier (DOI):||doi:10.1007/s10182-008-0098-6|
|Keywords:||capture–recapture, covariate, missing data|
|Subjects:||H Social Sciences > HA Statistics|
|Divisions:||Faculty of Social and Human Sciences > Southampton Statistical Sciences Research Institute
|Date Deposited:||26 Oct 2012 13:34|
|Last Modified:||17 Oct 2014 15:34|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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