Advances in Multivariate Data Analysis

Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Palermo, July 5–6, 2001

  • Hans-Hermann Bock
  • Marcello Chiodi
  • Antonino Mineo
Conference proceedings

DOI: 10.1007/978-3-642-17111-6

Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Classification Methods with Applications

    1. Front Matter
      Pages 1-1
    2. Francisco de A. T. de Carvalho, Renata M. C. R. de Souza, Rosanna Verde
      Pages 15-25
    3. Rossella Miglio, Gabriele Soffritti
      Pages 27-37
  3. Time Series Analysis and Related Methods

    1. Front Matter
      Pages 53-53
    2. Giacinto Di Valter, Ippoliti Luigi, Romagnoli Luca
      Pages 55-66
    3. Lara Fontanella, Mariagrazia Granturco
      Pages 67-79
    4. Marcella Niglio, Stefano Maria Pagnotta
      Pages 81-92
  4. Computer Intensive Techniques and Algorithms

    1. Front Matter
      Pages 93-93
    2. Francesco Giordano, Michele La Rocca, Cira Perna
      Pages 109-120
    3. Marilena Pillati, Daniela G. Calò
      Pages 121-132
  5. Classification and Data Analysis in Economics

    1. Front Matter
      Pages 145-145
    2. Alessandra Amendola, Giuseppe Storti
      Pages 147-157
    3. Daria Mendola, Stefano De Cantis
      Pages 181-192

About these proceedings

Introduction

This volume contains a selection of papers presented during the biennial meeting of the CLAssification and Data Analysis Group (CLADAG) of the Societa Italiana di Statistica which was orga­ nized by the Istituto di Statistica of the Universita degli Studi di Palermo and held in the Palazzo Steri in Palermo on July 5-6, 2001. For this conference, and after checking the submitted 4­ page abstracts, 54 papers were admitted for presentation. They covered a large range of topics from multivariate data analysis, with special emphasis on classification and clustering, computa­ tional statistics, time series analysis, and applications in various classical or recent domains. A two-fold careful reviewing process led to the selection of 22 papers which are presented in this vol­ ume. They convey either a new idea or methodology, present a new algorithm, or concern an interesting application. We have clustered these papers into five groups as follows: 1. Classification Methods with Applications 2. Time Series Analysis and Related Methods 3. Computer Intensive Techniques and Algorithms 4. Classification and Data Analysis in Economics 5. Multivariate Analysis in Applied Sciences. In each section the papers are arranged in alphabetical order. The editors - two of them the organizers of the CLADAG confer­ ence - would like to express their gratitude to the authors whose enthusiastic participation made the meeting possible and very successful.

Keywords

Analysis Fitting Generalized linear model Measure Normal distribution Performance Time series classification clustering data analysis linear optimization modeling

Editors and affiliations

  • Hans-Hermann Bock
    • 1
  • Marcello Chiodi
    • 2
  • Antonino Mineo
    • 2
  1. 1.Institute of StatisticsRWTH Aachen UniversityAachenGermany
  2. 2.Department of Statistics and Mathematics Silvio VianelliUniversity of PalermoPalermoItaly

Bibliographic information

  • Copyright Information Springer-Verlag Berlin · Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-20889-1
  • Online ISBN 978-3-642-17111-6
  • Series Print ISSN 1431-8814