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Semantic modelling of bivariate statistical tests

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Statistical and Scientific Database Management (SSDBM 1990)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 420))

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Abstract

Various methods have been proposed for making statistical packages more intelligent. One method discussed in detail in this paper is to enrich the description of the data with the relevant semantic knowledge and equip the package to make use of this knowledge. This paper reports on a research project which explored in some details the structure of this metadata and the requirements of the processing modules. In particular the nature of knowledge needed to implement a range of bivariate statistical tests is examined and the features of the necessary software to validate these tests in a standard statistical package are described. The results of a prototype application of the method are also discussed.

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Authors and Affiliations

  1. Computer Science Department, Aston University, Aston Triangle, B4 7ET, Birmingham, UK

    Paul A Golder

Authors
  1. Paul A Golder
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Editor information

Zbigniew Michalewicz

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© 1990 Springer-Verlag Berlin Heidelberg

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Golder, P.A. (1990). Semantic modelling of bivariate statistical tests. In: Michalewicz, Z. (eds) Statistical and Scientific Database Management. SSDBM 1990. Lecture Notes in Computer Science, vol 420. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-52342-1_19

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  • DOI: https://doi.org/10.1007/3-540-52342-1_19

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52342-0

  • Online ISBN: 978-3-540-46968-1

  • eBook Packages: Springer Book Archive

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