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Measurement and Multivariate Analysis

  • Conference proceedings
  • © 2002

Overview

Editors:
  1. Shizuhiko Nishisato

    1. Measurement and Evaluation Program CTL, OISE/UT, The University of Toronto, Toronto, Canada

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  2. Yasumasa Baba

    1. Center for Information on Statistical Sciences, The Institute of Statistical Mathematics, Minato-ku, Tokyo, Japan

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  3. Hamparsum Bozdogan

    1. Information Complexity & Model Selection Department of Statistics, 336 SMC, The University of Tennessee, Knoxville, USA

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  4. Koji Kanefuji

    1. Center for Information on Statistical Sciences, The Institute of Statistical Mathematics, Minato-ku, Tokyo, Japan

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  • Readers will find a rich variety of topics of current interest in the extended statistical community

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Table of contents (35 papers)

  1. Front Matter

    Pages ii-xvi
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  3. Introduction

    1. Measurement and Multivariate Analysis

      • Shizuhiko Nishisato
      Pages 25-36

  4. Scaling

    1. An Intelligent Clustering Technique Based on Dual Scaling

      • Hans-Joachim Mucha
      Pages 37-46

    2. Homogeneity and Smoothness Analysis for Quantifying a Longitudinal Categorical Variable

      • Kohei Adachi
      Pages 47-56

    3. Partial Multiple Correspondence Analysis

      • Haruo Yanai, Tadahiko Maeda
      Pages 57-68

    4. Studying Triadic Distance Models Under a Likelihood Function

      • Mark de Rooij
      Pages 69-76

    5. A Generalized Modification of Scheffé’s Paired Comparisons: A theoretical approach to decrease the number of experiments

      • Masaya Iizuka, Katsumi Ujiie
      Pages 77-86

    6. Analysing Dependence in Large Contingency Tables: NonSymmetric Correspondence Analysis and Regression with Optimal Scaling

      • Pieter M. Kroonenberg
      Pages 87-96

    7. Multidimensional Scaling with Different Orientations of Dimensions for Symmetric and Asymmetric Relationships

      • Akinori Okada, Tadashi Imaizumi
      Pages 97-106

    8. Complex Space Models for the Analysis of Asymmetry

      • Naohito Chino
      Pages 107-114

  5. Structural Analysis

    1. Structural Equation Modeling by Extended Redundancy Analysis

      • Heungsun Hwang, Yoshio Takane
      Pages 115-124

    2. Redundancy Index in Canonical Correlation Analysis with Linear Constraints

      • Akio Suzukawa, Nobuhiro Taneichi
      Pages 125-132

    3. Regularized Kernel Discriminant Analysis with Optimally Scaled Data

      • Halima Bensmail, Hamparsum Bozdogan
      Pages 133-144

    4. Dimension Reduction in Hierarchical Linear Models

      • Yoshio Takane, Michael A. Hunter
      Pages 145-154

    5. Time Dependent Principal Component Analysis

      • Yasumasa Baba, Takahiro Nakamura
      Pages 155-162

    6. Borrowing Strength from Images to Facilitate Exploratory Structural Analysis of Binary Variables

      • Robert M. Pruzek
      Pages 163-174

    7. Comparison of Construct Mean Scores Across Populations: A Conceptual Framework

      • Alain De Beuckelaer
      Pages 175-182

    8. Nonlinear Generalized Canonical Correlation Analysis by Neural Network Models

      • Yoshio Takane, Yuriko Oshima-Takane
      Pages 183-190
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Keywords

About this book

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.

Editors and Affiliations

  • Measurement and Evaluation Program CTL, OISE/UT, The University of Toronto, Toronto, Canada

    Shizuhiko Nishisato

  • Center for Information on Statistical Sciences, The Institute of Statistical Mathematics, Minato-ku, Tokyo, Japan

    Yasumasa Baba, Koji Kanefuji

  • Information Complexity & Model Selection Department of Statistics, 336 SMC, The University of Tennessee, Knoxville, USA

    Hamparsum Bozdogan

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