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Development of Statistical Software SAMMIF for Sensitivity Analysis in Multivariate Methods

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Abstract

Statistical software SAMMIF is being developed for sensitivity analysis in multivariate methods where influence functions or their analogues are available. It can be used for detecting jointly as well as singly influential observations and also for obtaining information on influential directions from the aspect of Cook’s local influence. A numerical example illustrates its performance in factor analysis.

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References

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Author information

Authors and Affiliations

  1. Department of Socio-Information, Okayama University of Science, 700-0005, Japan

    Yuichi Mori

  2. Department of Liberal Arts and Science, Kurashiki University of Science and the Arts, 712-8505, Japan

    Shingo Watadani

  3. Department of Environmental and Mathematical Science, Okayama University, 700-8530, Japan

    Tomoyuki Tarumi & Yutaka Tanaka

Authors
  1. Yuichi Mori
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  2. Shingo Watadani
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  3. Tomoyuki Tarumi
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  4. Yutaka Tanaka
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Editor information

Editors and Affiliations

  1. Statistics Department, IACR-Rothamsted, AL5 2JQ, Harpenden, Herts, UK

    Roger Payne

  2. Department of Mathematics, University of Bristol, BS8 1TW, Bristol, UK

    Peter Green

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© 1998 Springer-Verlag Berlin Heidelberg

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Mori, Y., Watadani, S., Tarumi, T., Tanaka, Y. (1998). Development of Statistical Software SAMMIF for Sensitivity Analysis in Multivariate Methods. In: Payne, R., Green, P. (eds) COMPSTAT. Physica, Heidelberg. https://doi.org/10.1007/978-3-662-01131-7_54

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  • DOI: https://doi.org/10.1007/978-3-662-01131-7_54

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1131-5

  • Online ISBN: 978-3-662-01131-7

  • eBook Packages: Springer Book Archive

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