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Titlebook: Exploratory Data Analysis in Empirical Research; Proceedings of the 2 Manfred Schwaiger,Otto Opitz Conference proceedings 2003 Springer-Ver

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any parameters because of interactions at various time-lags. We use a dynamic version of Sliced InverseRegression (SIR; (.)) as an exploratory tool for analyzing multivariate time series. Analyzing each variable individually, wesearch for those directions, i.e, linear combinations of past and presen
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,Introduction: “The Rivals of My Watch”,lustering method. In another paper Brito (1998) has addressed the problem of clustering probabilistic data. The aim of this paper is to bring together the two issues, that is, to take into account dependence rules on probabilistic data. This is accomplished by introducing new generality measures wit
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Marriage Migration and Integrationuses, we select some topics related with modelization and aggregat ion of dissimilarities and conceptual classification. We partially revisit them in a common frame provided by a recent study about Galois connections between closure spaces.
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