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Advances in Statistical Models for Data Analysis

  • Isabella Morlini
  • Tommaso Minerva
  • Maurizio Vichi

Table of contents

  1. Front Matter
    Pages i-viii
  2. Antonio Balzanella, Romano Elvira
    Pages 9-16
  3. Jessica Cariboni, Andrea Pagano, Domenico Perrotta, Francesca Torti
    Pages 17-25
  4. Roberto Casarin, Marco Tronzano, Domenico Sartore
    Pages 27-34
  5. Rosalia Castellano, Gennaro Punzo, Antonella Rocca
    Pages 35-43
  6. Pier Luigi Conti, Daniela Marella
    Pages 45-53
  7. Claudio Conversano, Massimo Cannas, Francesco Mola
    Pages 55-62
  8. Rosario D’Agata, Venera Tomaselli
    Pages 63-71
  9. Utkarsh J. Dang, Paul D. McNicholas
    Pages 73-84
  10. Cristina Davino, Domenico Vistocco
    Pages 85-95
  11. Carlo Drago, Antonio Balzanella
    Pages 97-105
  12. Salvatore Fasola, Mariangela Sciandra
    Pages 117-124
  13. Luigi Grossi, Fany Nan
    Pages 125-135
  14. Alfonso Iodice D’Enza, Angelos Markos
    Pages 137-148
  15. Carmela Iorio, Massimo Aria, Antonio D’Ambrosio
    Pages 149-156
  16. Maria Adele Milioli, Lara Berzieri, Sergio Zani
    Pages 165-176
  17. Isabella Morlini, Stefano Orlandini
    Pages 177-189
  18. Akinori Okada, Satoru Yokoyama
    Pages 191-199
  19. Antonio Punzo, Salvatore Ingrassia
    Pages 201-209
  20. Emanuela Raffinetti, Pier Alda Ferrari
    Pages 211-219
  21. John Shawe-Taylor, Blaž Žličar
    Pages 231-257
  22. Isabella Sulis, Francesca Giambona, Nicola Tedesco
    Pages 259-268

About these proceedings

Introduction

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 contributions to a wide range of application areas such as economics, marketing, education, social sciences and environment. The papers in this volume 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.

Keywords

Causal inference Classification Custering Data analysis Fuzzy methods Multidimensional methods Quantile regression Statistical models dglars

Editors and affiliations

  • Isabella Morlini
    • 1
  • Tommaso Minerva
    • 2
  • Maurizio Vichi
    • 3
  1. 1.Department of Economics "Marco Biagi"University of Modena & Reggio EmiliaModenaItaly
  2. 2.Department of Communication and EconomicsUniversity of Modena & Reggio EmiliaReggio EmiliaItaly
  3. 3.Department of StatisticsUniversity of Rome “La Sapienza”RomaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-17377-1
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-17376-4
  • Online ISBN 978-3-319-17377-1
  • Series Print ISSN 1431-8814
  • Series Online ISSN 2198-3321
  • Buy this book on publisher's site