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  • Conference proceedings
  • © 2014

Analysis and Modeling of Complex Data in Behavioral and Social Sciences

  • Builds an interface between statistical methods and applications in social sciences
  • Presents advances in data analysis that address research questions across many social science disciplines
  • Emphasizes both methodological and applicative issues
  • Includes supplementary material: sn.pub/extras

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Table of contents (31 papers)

  1. Front Matter

    Pages i-xv
  2. Time-Frequency Filtering for Seismic Waves Clustering

    • Antonio Balzanella, Giada Adelfio, Marcello Chiodi, Antonino D’Alessandro, Dario Luzio
    Pages 1-9
  3. Estimating a Rasch Model via Fuzzy Empirical Probability Functions

    • Lucio Bertoli-Barsotti, Tommaso Lando, Antonio Punzo
    Pages 29-36
  4. Scale Reliability Evaluation for A-Priori Clustered Data

    • Giuseppe Boari, Gabriele Cantaluppi, Marta Nai Ruscone
    Pages 37-45
  5. An Evaluation of Performance of Territorial Services Center (TSC) by a Nonparametric Combination Ranking Method

    • Mario Bolzan, Livio Corain, Valeria De Giuli, Luigi Salmaso
    Pages 47-54
  6. Asymmetries in Organizational Structures

    • Giuseppe Bove
    Pages 65-72
  7. Dynamic Clustering of Financial Assets

    • Giovanni De Luca, Paola Zuccolotto
    Pages 103-111
  8. A Comparison of χ 2 Metrics for the Assessment of Relational Similarities in Affiliation Networks

    • Maria Rosaria D’Esposito, Domenico De Stefano, Giancarlo Ragozini
    Pages 113-122
  9. Social Networks as Symbolic Data

    • Giuseppe Giordano, Paula Brito
    Pages 133-141
  10. Statistical Assessment for Risk Prediction of Endoleak Formation After TEVAR Based on Linear Discriminant Analysis

    • Kuniyoshi Hayashi, Fumio Ishioka, Bhargav Raman, Daniel Y. Sze, Hiroshi Suito, Takuya Ueda et al.
    Pages 143-151
  11. Fuzzy c-Means for Web Mining: The Italian Tourist Forum Case

    • Domenica Fioredistella Iezzi, Mario Mastrangelo
    Pages 153-160
  12. On Joint Dimension Reduction and Clustering of Categorical Data

    • Alfonso Iodice D’Enza, Michel Van de Velden, Francesco Palumbo
    Pages 161-169

About this book

This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challenging proposals provide a connection between statistical methodology and the social domain with particular attention to computational issues in order to effectively address complicated data analysis problems.
The papers in this volume stem from contributions initially presented at the joint international meeting JCS-CLADAG held in Anacapri (Italy) where the Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Society had a stimulating scientific discussion and exchange.

Editors and Affiliations

  • Department of Statistical Science, University of Rome "La Sapienza", Rome, Italy

    Donatella Vicari

  • and Information Sciences, Tama University Graduate School of Management, Tokyo, Japan

    Akinori Okada

  • Department of Political Science, University of Naples "Federico II", Naples, Italy

    Giancarlo Ragozini

  • Fakultät Statistik, Technische Universität Dortmund, Dortmund, Germany

    Claus Weihs

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access