Omega-Stat: An Environment for Implementing Intelligent Modeling Strategies

  • E. James Harner
  • Hanga C. Galfalvy
Part of the Lecture Notes in Statistics book series (LNS, volume 112)


Omega-Stat, a new data analysis and modeling paradigm, is built on Lisp-Stat—an object-oriented statistical programming environment. It contains extensible, reusable-component libraries for performing data management, multivariate analyses, modeling, and dynamic graphics. A point-and-click user interface allows instant access to all objects, including analysis and graphics objects. Modeling is done by adding new model objects, i.e., extended datasets, to a tree structure originally containing prototypes for linear, generalized linear, and nonlinear models. Knowledge, and methods for accessing this knowledge, are embedded within model objects and edge objects linking these models. This representation allows the modeling process to be studied by following the analysis trails of expert analysts. The objective is to provide an expert consultant that is accessible as part of man/machine interaction. Modeling strategies can then be built into Omega-Stat, by using prior knowledge and data-analytic heuristics, to guide the process of constructing the model tree and the iterative search for an “optimal” model.


Model Object Variable Object Dependency Tree Dynamic Graphic Graphical View 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag New York, Inc. 1996

Authors and Affiliations

  • E. James Harner
    • 1
  • Hanga C. Galfalvy
    • 1
  1. 1.Department of Statistics and Computer ScienceWest Virginia UniversityMorgantownUSA

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