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

Kuhnert, Ronny and Böhning, Dankmar (2008) CAMCR: Computer-Assisted Mixture model analysis for Capture–Recapture count data AStA Advances in Statistical Analysis, 93, (1), pp. 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)
Related URLs:
Organisations: Statistics, Statistical Sciences Research Institute
ePrint ID: 210559
Date :
Date Event
31 October 2008e-pub ahead of print
Date Deposited: 09 Feb 2012 14:51
Last Modified: 18 Apr 2017 00:27
Further Information:Google Scholar

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