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Simulating Categorical Data from Spatial Models

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Abstract

Categorical data are simulated using random rotating hyperplanes superimposed on a spatial pattern of points in a d-dimensional space and also by random hyperspheres. These data can be used as a source for testing various statistical techniques. Their use in multidimensional scaling in particular is investigated.

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References

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Author information

Authors and Affiliations

  1. Department of Statistics, University of Newcastle, Newcastle upon Tyne, NE1 7RU, UK

    Trevor F. Cox

  2. Department of Management Studies, University of Newcastle, Newcastle upon Tyne, NE1 7RU, UK

    Michael A. A. Cox

Authors
  1. Trevor F. Cox
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  2. Michael A. A. Cox
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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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Cox, T.F., Cox, M.A.A. (1998). Simulating Categorical Data from Spatial Models. In: Payne, R., Green, P. (eds) COMPSTAT. Physica, Heidelberg. https://doi.org/10.1007/978-3-662-01131-7_28

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  • DOI: https://doi.org/10.1007/978-3-662-01131-7_28

  • 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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