Measurement and Multivariate Analysis

  • Shizuhiko Nishisato
  • Yasumasa Baba
  • Hamparsum Bozdogan
  • Koji Kanefuji

Table of contents

  1. Front Matter
    Pages ii-xvi
  2. Keynote Papers

  3. Introduction

    1. Shizuhiko Nishisato
      Pages 25-36
  4. Scaling

  5. Structural Analysis

  6. Statistical Inference

    1. Takemi Yanagimoto, Toshio Ohnishi
      Pages 191-196
    2. Kazuo Shigemasu, Takahiro Hoshino, Takuya Ohmori
      Pages 207-216
    3. Wing-Kam Fung, Zhong-Yi Zhu, Bo-Cheng Wei
      Pages 233-240
  7. Algorithms

    1. Wolfgang Gaul, Lars Schmidt-Thieme
      Pages 249-260
    2. Akinobu Takeuchi, Hiroshi Yadohisa, Koichi Inada
      Pages 261-268
    3. Yuichi Mori, Shingo Watadani, Yoshiro Yamamoto, Tomoyuki Tarumi, Yutaka Tanaka
      Pages 279-288
  8. Data Analysis

    1. Peter Allerup
      Pages 301-306
    2. Jose G. Clavel, Isabel Martínez Conesa, Esther Ortiz Martínez
      Pages 307-314

About these proceedings


Diversity is characteristic of the information age and also of statistics. To date, the social sciences have contributed greatly to the development of handling data under the rubric of measurement, while the statistical sciences have made phenomenal advances in theory and algorithms. Measurement and Multivariate Analysis promotes an effective interplay between those two realms of research-diversity with unity. The union and the intersection of those two areas of interest are reflected in the papers in this book, drawn from an international conference in Banff, Canada, with participants from 15 countries. In five major categories - scaling, structural analysis, statistical inference, algorithms, and data analysis - readers will find a rich variety of topics of current interest in the extended statistical community.


Algorism Scaling Statistical Interface Structural Analysis algorithms data analysis measurement and multivariate analysis conference

Editors and affiliations

  • Shizuhiko Nishisato
    • 1
  • Yasumasa Baba
    • 2
  • Hamparsum Bozdogan
    • 3
  • Koji Kanefuji
    • 2
  1. 1.Measurement and Evaluation Program CTL, OISE/UTThe University of TorontoTorontoCanada
  2. 2.Center for Information on Statistical SciencesThe Institute of Statistical MathematicsMinato-ku, TokyoJapan
  3. 3.Information Complexity & Model Selection Department of Statistics, 336 SMCThe University of TennesseeKnoxvilleUSA

Bibliographic information