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Controlling Based on Stochastic Models

  • H.-J. Lenz
  • E. Rödel
Conference paper
Part of the International Centre for Mechanical Sciences book series (CISM, volume 408)

Abstract

Operative Controlling is used in industry and commerce in order to find out whether there exist avoidable irregularities in a given data set or not. These irregularities may be caused by environment, management, and unhonest or erroneous actions of any kind. Controlling is model based in the sense that prior knowledge about facts and structural relationships between variables is used to build up a model of a firm. Its relations are based on definitions, institutional and behavioural equations.

Keywords

Stochastic Model Gradient Method Linear Regression Model True Data Structural Relationship 
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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References

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    Vinod, H.D. and Ullah, A.: Recent Advances in Regression Methods. Marcel Dekker 1981.Google Scholar
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    Toutenburg, H. and Rödel, E.: Mathematisch-statistische Methoden in der Ökonomie. Akademie-Verlag 1978.Google Scholar
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    Engeln-Müllges,G. and Reuter, F.: Formelsammlung zur numerischen Mathematik mit Turbo-Pascal-Programmen. Wissenschaftsverlag Mannheim/Wien/Zürich 1991Google Scholar

Copyright information

© Springer-Verlag Wien 2000

Authors and Affiliations

  • H.-J. Lenz
    • 1
  • E. Rödel
    • 2
  1. 1.Free University BerlinBerlinGermany
  2. 2.Humboldt University BerlinBerlinGermany

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