Skip to main content
Springer Nature Link
Log in

Software abstraction of elements of statistical strategy

  • Published:
Annals of Mathematics and Artificial Intelligence Aims and scope Submit manuscript

    We’re sorry, something doesn't seem to be working properly.

    Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Abstract

This paper presents some general approaches to building software representations of statistical strategies. In statistics, strategy is the skilful management of data, probability models, experimental designs, and other statistical concepts. This paper addresses the representation of these concepts separately from the representation of the actions taken on them. The issue of having a credible visual interface with these representations is also raised.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. R.W. Oldford and S.C. Peters, Implementation and study of statistical strategy,Artificial Intelligence and Statistics, ed. W.A. Gale (Addison-Wesley, Reading, MA, 1986) pp. 335–353.

    Google Scholar 

  2. R.W. Oldford and S.C. Peters, DINDE: Towards more sophisticated software environments for statistics, SIAM J. Sci. Statist. Comput. 9 (1988) 191–211.

    Google Scholar 

  3. D. Pregibon and D.J. Lubinsky, Data analysis as search, J. Econometrics 38 (1988) 247–268.

    Google Scholar 

  4. P.J. Huber, Environments for supporting statistical strategy,Artificial Intelligence and Statistics, ed. W.A. Gale (Addison-Wesley, Reading, MA, 1986) pp. 285–294.

    Google Scholar 

  5. R.W. Oldford, Abstract statistical computing, Bull. ISI: 46th Session, vol. 52, Book 4 (1987) pp. 387–398.

    Google Scholar 

  6. M. Stefik and D.G. Bobrow, Object-oriented programming: Themes and variations, AI Mag. 5 (1985) 40–62.

    Google Scholar 

  7. A. Goldberg and D. Robson,Smalltalk-80: The Language and its Implementation (Addison-Wesley, Reading, MA, 1983).

    Google Scholar 

  8. S. Keene,Object Oriented Programming in Common Lisp: CLOS (Addison-Wesley, Reading, MA, 1988).

    Google Scholar 

  9. R.W. Oldford, Object-oriented software representations for statistical data, J. Econometrics 38 (1988) 227–246.

    Google Scholar 

  10. J.A. McDonald, Antelope: Data analysis with object-oriented programming and constraints,Proc. ASA: Stat. Comp. Sect. (1986).

  11. R.A. Becker, J.M. Chambers and A.R. Wilks,The New S Language: A programming Environment for Data Analysis and Graphics (Wadsworth Press, Belmont, CA, 1988).

    Google Scholar 

  12. D.M. Bates and J.M. Chambers, Statistical models as data structures, Statistical Research Report no. 42, AT&T Bell Laboratories, Murray Hill, NJ (1987).

    Google Scholar 

  13. R.W. Oldford and S.C. Peters, Statistical analysis maps, STAT 88-21, Statistics Technical Report Series, University of Waterloo (1988).

  14. A.H. Borning, The programming language aspects of ThingLab, a constraint-oriented simulation laboratory, ACM Trans. Prog. Lang. and Sys. 3 (1981) 353–387.

    Google Scholar 

  15. W.A. Gale and D.J. Lubinsky, A comparison of representations for statistical strategies,Proc. ASA: Stat. Comp. Sect. (1986).

  16. C.B. Hurley and R.W. Oldford, A software model for statistical graphics, STAT 89-13 Statistics Technical Report Series, University of Waterloo (1989), to appear in: Statistical Computing and Graphics, Institute for Mathematics and its Applications, University of Minnesota (1990).

  17. B. Sheil, Power tools for programmers, Datamation (February 1983) pp. 183–143.

Download references

Author information

Authors and Affiliations

  1. Department of Statistics and Actuarial Science, University of Waterloo, N2L 3G1, Waterloo, Ontario, Canada

    R. W. Oldford

Authors
  1. R. W. Oldford
    View author publications

    You can also search for this author inPubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Oldford, R.W. Software abstraction of elements of statistical strategy. Ann Math Artif Intell 2, 291–307 (1990). https://doi.org/10.1007/BF01531013

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01531013

Keywords