Titlebook: Data Analysis and Decision Support; Daniel Baier (Chair of Marketing and Innovation Ma Book 2005 Springer-Verlag Berlin Heidelberg 2005 Pl

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Susanne Komfort-Hein,Heinz Drüghg with so-called “ideal” points. In this model, the distance between an “ideal” point and object points are related to the degree of individual preferential choice data for objects. However, the unfolding model has some difficulties, degeneracies, indeterminacies and multidimensionality problems in

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Christian Krachts Mikroästhetiks. Most results in model-based clustering were obtained under multivariate normal distribution. In the paper we propose to adopt other approach, namely copula analysis in model-based clustering. Two possible stochastic approaches, namely classification approach and mixture approach, are considered a

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Christian Krachts Mikroästhetikriate normal distribution has only three parameters, mean, variance and linear correlation, the use of the normal distribution as an analytical framework leads to what we call linear analysis. This paper starts with discarding the normal distribution assumption, and then advocates total reliance on

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Christian Kracht’s Micro-aestheticsresponses constitute a set of matrices, each comes from a manager. Each matrix is transformed to a matrix of geodesic distances from row to column managers. The set of geodesic distance matrices was analyzed by the asymmetric multidimensional scaling. The result represents the hierarchical structure

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Susanne Komfort-Hein,Heinz Drügherent German (meta) search engines to describe some general patterns of search queries such as the percentage of operators used in search queries, length of queries and number of queries per time unit (days or hours). We also analyze the frequencies of queries and terms respectively. In addition, we