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Implementing interactive computing in an object-oriented environment

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Abstract

Statistical computing when input/output is driven by a Graphical User Interface is considered. A proposal is made for automatic control of computational flow to ensure that only strictly required computations are actually carried on. The computational flow is modeled by a directed graph for implementation in any object-oriented programming language with symbolic manipulation capabilities. A complete implementation example is presented to compute and display frequency based piecewise linear density estimators such as histograms or frequency polygons.

Suggested Citation

  • Frederic Udina, 1999. "Implementing interactive computing in an object-oriented environment," Economics Working Papers 419, Department of Economics and Business, Universitat Pompeu Fabra.
    • Handle: RePEc:upf:upfgen:419
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    References listed on IDEAS

    as
    1. Simonoff, Jeffrey S. & Udina, Frederic, 1997. "Measuring the stability of histogram appearance when the anchor position is changed," Computational Statistics & Data Analysis, Elsevier, vol. 23(3), pages 335-353, January.
    2. HARDLE, Wolfgang & SCOTT, David, 1990. "Smoothing by weighted averaging of rounded points," LIDAM Discussion Papers CORE 1990040, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Histogram; frequency polygon; bin width; object oriented programming; interactive graphics; statistical computing;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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