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Complex Space Models for the Analysis of Asymmetry

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Measurement and Multivariate Analysis

Summary

Two kinds of complex space models are discussed for the analysis of asymmetry. One is the H Ermitian Form Asymmetric multidimensional Scaling for Interval Data (EFASID), which is a version of Hermitian Form Model (HFM) for the analysis of one-mode two-way asymmetric relational data proposed by Chino and Shiraiwa (1993). It was first proposed by Chino (1999). Some results from simulations of EFASID are reported. The other is a possible complex difference system model for the analysis of two-mode three-way asymmetric relational data. Implications of such a complex difference system model are discussed.

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Author information

Authors and Affiliations

  1. Aichi Gakuin University, 12 Araike, Iwasaki, Nisshin-city, Aichi, Japan, 470-0195

    Naohito Chino

Authors
  1. Naohito Chino
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Editor information

Editors and Affiliations

  1. Measurement and Evaluation Program CTL, OISE/UT, The University of Toronto, 252 Bloor Street West, M5S 1V6, Toronto, Ontario, Canada

    Shizuhiko Nishisato (Professor Emeritus) (Professor Emeritus)

  2. Center for Information on Statistical Sciences, The Institute of Statistical Mathematics, 4-6-7 Minami Azabu, 106-8569, Minato-ku, Tokyo, Japan

    Yasumasa Baba (Professor) & Koji Kanefuji (Associate Professor) (Professor) &  (Associate Professor)

  3. Information Complexity & Model Selection Department of Statistics, 336 SMC, The University of Tennessee, 37996-0532, Knoxville, TN, USA

    Hamparsum Bozdogan (McKenzie Professor in Business) (McKenzie Professor in Business)

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© 2002 Springer Japan

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Chino, N. (2002). Complex Space Models for the Analysis of Asymmetry. In: Nishisato, S., Baba, Y., Bozdogan, H., Kanefuji, K. (eds) Measurement and Multivariate Analysis. Springer, Tokyo. https://doi.org/10.1007/978-4-431-65955-6_11

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  • DOI: https://doi.org/10.1007/978-4-431-65955-6_11

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-65957-0

  • Online ISBN: 978-4-431-65955-6

  • eBook Packages: Springer Book Archive

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