Titlebook: Advances in Statistical Models for Data Analysis; Isabella Morlini,Tommaso Minerva,Maurizio Vichi Conference proceedings 2015 Springer Int

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1431-8814 were first presented at the 9th biannual meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in September 2013 at the University of Modena and Reggio Emilia, Italy..978-3-319-17376-4978-3-319-17377-1Series ISSN 1431-8814 Series E-ISSN 2198-3321

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A New Proposal for Tree Model Selection and Visualization,he graphical analysis of the tree structure without considering the pruning sequence. The results in terms of error rate are really similar to the ones returned by the classification and regression trees (CART) procedure, showing how this new way to select the best tree is a valid alternative to the well-known cost-complexity pruning.

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Comparing Fuzzy and Multidimensional Methods to Evaluate Well-Being in European Regions, the ones obtained by principal component analysis (PCA) and .-means cluster analysis applied to the same dataset. Furthermore, the relationships of the fuzzy indicator with GDP per capita and with human development index (HDI) are highlighted. The advantages and the drawbacks of the suggested approach are discussed.

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1431-8814 on, social sciences, environmental and biomedical sciences.This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and c

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Yunbo Guo,Bogdan J. Matuszewskir modelling the approval rate, while . have been considered for taking into account the uncertainty in the ranking process. We propose two new probability distributions, the . and the ., which ensure much flexibility and allow the joint modelling of the scale (approval rate) and the shape (uncertainty) parameters of the rank distribution.

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