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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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楼主: Malicious
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Susanne Komfort-Hein,Heinz Drüghodel. The new g-inverses lead to two simple effects in a two-way ANOVA model: column means and adjusted row means or vice versa: row means and adjusted column means. For the F- Test this parameterizations is invariant.
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A Diversity Measure for Tree-Based Classifier Ensemblesomponent classifiers, because many experiments showed that unrelated members form an ensemble of high accuracy..In this paper we propose a new pairwise measure of diversity for classifier ensembles based on Hamann’s similarity coefficient.
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Clustering Including Dimensionality Reductionhodologies are considered. The first are based on the simultaneous clustering of each mode of the observed multi-way data. The second are based on a clustering of the object mode to obtain mean profiles (centroids) and a factorial reduction of the other modes. These methodologies are described by a real application.
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Christian Faith and University Lifee modeling, multicollinearity resolution, etc. However, while its optimal properties make PCA solutions unique, interpreting the results of such analyses can be problematic. A plethora of rotation methods are available for such interpretive uses, but there is no theory as to which rotation method sh
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Formation and Christian Education in Englandfor an observed variable, an observed value for the aggregated statistical units we treat here may be multivalued. Our aim is to describe a partition of this class of statistical units by further partitioning it, where each class of the partition is described by a conjunction of characteristic prope
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https://doi.org/10.1007/978-3-319-62803-5omponent classifiers, because many experiments showed that unrelated members form an ensemble of high accuracy..In this paper we propose a new pairwise measure of diversity for classifier ensembles based on Hamann’s similarity coefficient.
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,Blake: ‘The Little Black Boy’ and ,can construct a two-sided confidence interval for the parameter of interest after each realized sequential stage. Provided that in each sequential stage an unbiased estimate of the parameter of interest is available, the repeated confidence intervals always hold the nominal confidence level even in
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