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A Visual Future for Statistical Computing

  • Conference paper
COMPSTAT

Abstract

A visualisation system is adapted to provide statisticians with an innovative statistical system that uses visual programming and provides access to visualisation and application building facilities.

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References

  • Craig, P. (1997). Implementing a Statistical Data Type in IRIS Explorer. IRIS Explorer Technical Report TR3/97/10(NP3160) Oxford: The Numerical Algorithms Group.

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  • IRIS Explorer Users’ Guide (1995). Oxford: The Numerical Algorithms Group.

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  • Karaman, Z. (1998). Building end-user statistical applications: an example using STABLE. In: COMPSTAT 1998 Proceedings in Computational Statistics (ed. R. Payne & P. Green), 347–352. Heidelberg: Physica-Verlag.

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  • NAG Fortran 77 Library Manual, Mark 18 (1997). Oxford: The Numerical Algorithms Group.

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  • Payne, R.W., Lane, P.W., Digby, P.G.N., Harding, S.A., Leech, P.K., Morgan, G.W., Todd, A.D., Thompson, R., Tunnicliffe Wilson, G., Welham, S.J. & White, R.P. (1993). Genstat 5 Release 3 Reference Summary. Oxford: Numerical Algorithms Group.

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Author information

Authors and Affiliations

  1. The Numerical Algorithms Group Ltd, Wilkinson House, Jordan Hill Road, Oxford, OX2 8DR, UK

    Geoffrey Morgan & Patrick Craig

Authors
  1. Geoffrey Morgan
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  2. Patrick Craig
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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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Cite this paper

Morgan, G., Craig, P. (1998). A Visual Future for Statistical Computing. In: Payne, R., Green, P. (eds) COMPSTAT. Physica, Heidelberg. https://doi.org/10.1007/978-3-662-01131-7_53

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  • DOI: https://doi.org/10.1007/978-3-662-01131-7_53

  • 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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