CAMCR: Computer-Assisted Mixture model analysis for Capture–Recapture count data

Kuhnert, Ronny and Böhning, Dankmar (2009) CAMCR: Computer-Assisted Mixture model analysis for Capture–Recapture count data. AStA Advances in Statistical Analysis, 93, (1), 61-71. (doi:10.1007/s10182-008-0092-z).


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Population size estimation with discrete or nonparametric mixture models is considered, and reliable ways of construction of the nonparametric mixture model estimator are reviewed and set into perspective. Construction of the maximum likelihood estimator of the mixing distribution is done for any number of components up to the global nonparametric maximum likelihood bound using the EM algorithm. In addition, the estimators of Chao and Zelterman are considered with some generalisations of Zelterman’s estimator. All computations are done with CAMCR, a special software developed for population size estimation with mixture models. Several examples and data sets are discussed and the estimators illustrated. Problems using the mixture model-based estimators are highlighted.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1007/s10182-008-0092-z
ISSNs: 1863-8171 (print)
1863-818X (electronic)
Related URLs:
Subjects: H Social Sciences > HA Statistics
Divisions : Faculty of Social and Human Sciences > Mathematical Sciences > Statistics
Faculty of Social and Human Sciences > Southampton Statistical Sciences Research Institute
ePrint ID: 210559
Accepted Date and Publication Date:
31 October 2008Made publicly available
Date Deposited: 09 Feb 2012 14:51
Last Modified: 31 Mar 2016 13:49

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