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Advances in Data Analysis Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks

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Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

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Modern Multivariate Statistical Techniques Regression, Classification, and Manifold Learning

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Permutation Methods A Distance Function Approach

Advances in Data Analysis Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8–10, 2006

Selected Contributions in Data Analysis and Classification

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