Abstract
A decade of research into the applications of artificial intelligence in statistics has finally resulted in the appearance of commercially available statistical expert systems. This paper takes a closer look at two of these systems, which are now commercially available on microcomputers, and shows what knowledge they actually contain and how they operate. It is concluded that although the technology and concepts that drive these systems could still benefit from further improvement, the real challenge lies in defining and constructing the statistical knowledge and strategy that should be incorporated and in presenting the results to the user's full advantage.
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References
Brent, E. E. (1988)STATISTICAL NAVIGATOR: An Expert System to Assist in Selecting Appropriate Statistical Analyses, The Idea Works, Inc., Colombia, MO.
DuMouchel, W. (1989) The structure, design principles, and strategies of Mulreg.Annals of Mathematics and Artificial Intelligence,2, 117–134.
Gale, W. A. (1986)Artificial Intelligence and Statistics, Addison-Wesley, Reading, MA.
Gale, W. A. and Pregibon, D. (1982) An expert system for regression analysis,Computer Science and Statistics: Proceedings of the 14th Symposium on the Interface, Heiner, K. W., Sacher, R. S. and Wilkinson, J. W. (eds), Springer-Verlag, New York, pp. 110–117.
Hand, D. J. (1984) Statistical expert systems: design.The Statistician,33, 351–369.
Hand, D. J. (1987) A statistical knowledge enhancement system.Journal of the Royal Statistical Society A,150, 334–345.
Haux, R. (1989) Statistische Expertensysteme (mit Kommentare).Biometrie und Informatik in Medizin und Biologie,20, 3–65.
Siegel, S. and Castellan, N. J. Jr. (1988).Nonparametric Statistics for the Behavioral Sciences, McGraw-Hill, New York.
Streitberg, B. (1988) On the nonexistence of expert systems: Critical remarks on artificial intelligence in statistics (with discussion).Statistical Software Newsletter,14(2), 55–62.
Wittkowski, K. M. (1990) Statistical knowledge-based system—Critical remarks and requirements for approval,COMP-STAT 1990, Momirovic, K. and Moldner, V. (eds), Physica, Heidelberg, pp. 49–56.
Wolstenholme, D. E., O'Brien, C. M. and Nelder, J. A. (1988) GLIMPSE: a knowledge-based front end to statistical analysis.Knowledge-Based Systems,1, 173–178.
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Raes, J.F.M. Inside two commercially available statistical expert systems. Stat Comput 2, 55–62 (1992). https://doi.org/10.1007/BF01889583
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DOI: https://doi.org/10.1007/BF01889583