Abstract
The paper reviews recent developments in the area of computer assisted analysis of mixture distributions (C.A.MAN). Nonparametric mixture distribution modelling heterogeneity in populations can become the standard model in many biometric applications since it also incorporates the homogeneous situations as a special case. The approach is nonparametric for the mixing distribution including leaving the number of components (subpopulations) of the mixing distribution unknown. Besides developments in theory and algorithms the work focuses in various biometric applications.
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Böhning, D., Dietz, E. (1998). Some News about C.A.MAN Computer Assisted Analysis of Mixtures. In: Balderjahn, I., Mathar, R., Schader, M. (eds) Classification, Data Analysis, and Data Highways. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72087-1_13
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DOI: https://doi.org/10.1007/978-3-642-72087-1_13
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