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Design Criteria for a Flexible Statistical Language

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COMPSTAT
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Summary

Statistical packages that constrain their users to choosing from a fixed set of analyses restrict the types of investigation that scientists may undertake, or lead to approximate or inappropriate analyses. We describe methods and criteria for designing a flexible package that avoids such deficiencies, with illustrations from our involvement with Genstat, in particular from the design of the new version called Genstat 5. Use of comprehensive algorithms and the ability to include user-supplied source code are important, but the crucial feature is that the commands of the package should themselves constitute a programming language for defining statistical, and other, computations.

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References

  • Banfield C.F. & Bassill L.C. (1977), A transfer algorithm for non-hierarchical classifications, Applied Statistics, 26, 206–210.

    Article  Google Scholar 

  • Lamacraft R.R. & Payne, R.W. (1980), A new look at data structures for statistical languages, in “COMPSTAT 1980: Proceedings in Computational Statistics”, 463–469, Vienna: Physica-Verlag.

    Google Scholar 

  • Lane P.W. & Payne R.W. (1985), Genstat 5: a general-purpose interactive statistical package, with facilities for generalized linear models, in “Lecture Notes in Statistics No.32. Generalized Linear Models, Proceedings, Lancaster 1985”, 105–111, New York: Springer Verlag.

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  • Neider J.A. & Wedderburn R.W.M. (1972), Generalized linear models, J. R. Statist. Soc. A, 135, 370–384.

    Article  Google Scholar 

  • Payne R.W. & Neider J.A. (1976), Data structures in statistical computing, Proceedings of the 9th International Biometric Conference, Vol.11, 191–208.

    Google Scholar 

  • Payne R.W. & Wilkinson, G.N. (1977), A general algorithm for analysis of variance, Applied Statistics, 26, 251–260.

    Article  Google Scholar 

  • Wilkinson G.N. (1970), A general recursive algorithm for analysis of variance, Biometrika, 57, 19–46.

    Article  Google Scholar 

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© 1986 Physica-Verlag, Heidelberg for IASC (International Association for Statistical Computing)

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Payne, R.W., Lane, P.W. (1986). Design Criteria for a Flexible Statistical Language. In: De Antoni, F., Lauro, N., Rizzi, A. (eds) COMPSTAT. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-46890-2_51

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  • DOI: https://doi.org/10.1007/978-3-642-46890-2_51

  • Publisher Name: Physica-Verlag HD

  • Print ISBN: 978-3-7908-0355-6

  • Online ISBN: 978-3-642-46890-2

  • eBook Packages: Springer Book Archive

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