Statistical Models for Data Analysis


ISBN: 978-3-319-00031-2 (Print) 978-3-319-00032-9 (Online)

Table of contents (45 chapters)

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  1. Front Matter

    Pages i-xv

  2. Chapter

    Pages 1-8

    Ordering Curves by Data Depth

  3. Chapter

    Pages 9-16

    Can the Students’ Career be Helpful in Predicting an Increase in Universities Income?

  4. Chapter

    Pages 17-26

    Model-Based Classification Via Patterned Covariance Analysis

  5. Chapter

    Pages 27-35

    Data Stream Summarization by Histograms Clustering

  6. Chapter

    Pages 37-44

    Web Panel Representativeness

  7. Chapter

    Pages 45-53

    Nonparametric Multivariate Inference Via Permutation Tests for CUB Models

  8. Chapter

    Pages 55-62

    Asymmetric Multidimensional Scaling Models for Seriation

  9. Chapter

    Pages 63-71

    An Approach to Ranking the Hedge Fund Industry

  10. Chapter

    Pages 73-80

    Correction of Incoherences in Statistical Matching

  11. Chapter

    Pages 81-88

    The Analysis of Network Additionality in the Context of Territorial Innovation Policy: The Case of Italian Technological Districts

  12. Chapter

    Pages 89-97

    Clustering and Registration of Multidimensional Functional Data

  13. Chapter

    Pages 99-106

    Classifying Tourism Destinations: An Application of Network Analysis

  14. Chapter

    Pages 107-114

    On Two Classes of Weighted Rank Correlation Measures Deriving from the Spearman’s ρ

  15. Chapter

    Pages 115-122

    Beanplot Data Analysis in a Temporal Framework

  16. Chapter

    Pages 123-130

    Supervised Classification of Facial Expressions

  17. Chapter

    Pages 131-139

    Grouping Around Different Dimensional Affine Subspaces

  18. Chapter

    Pages 141-149

    Hospital Clustering in the Treatment of Acute Myocardial Infarction Patients Via a Bayesian Semiparametric Approach

  19. Chapter

    Pages 151-159

    A New Fuzzy Method to Classify Professional Profiles from Job Announcements

  20. Chapter

    Pages 161-169

    A Metric Based Approach for the Least Square Regression of Multivariate Modal Symbolic Data

  21. Chapter

    Pages 171-179

    A Gaussian–Von Mises Hidden Markov Model for Clustering Multivariate Linear-Circular Data

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