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 o...

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Bibliographic Details
Main Authors: van der Heijden, Peter G.M (Author), Zwane, Eugene (Author), Hessen, David (Author)
Format: Article
Language:English
Published: 2009-03.
Subjects:
Online Access:Get fulltext
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100 1 0 |a van der Heijden, Peter G.M.  |e author 
700 1 0 |a Zwane, Eugene  |e author 
700 1 0 |a Hessen, David  |e author 
245 0 0 |a Structurally missing data problems in multiple list capture-recapture data 
260 |c 2009-03. 
856 |z Get fulltext  |u https://eprints.soton.ac.uk/344673/1/heijden.pdf 
520 |a 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. 
540 |a other 
655 7 |a Article