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Modeling the fraud-like investment founds by Petri nets

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  • Ciuiu, Daniel

Abstract

In this paper we model the fraud-like investment founds using place-transition Petri nets. We will also classify the business using regression line in order to find the possible fraud-like investment founds. In these regression lines we compute analytical the mark of a place in function of some other elements of the Petri net, and next we express this value in function of the same elements using regression. From the identity of the coefficients we find a ratio between two weights of arcs. We make also a program where the marks and transitions are implemented as classes for Petri nets, and, using the heritage mechanism we extend the Petri net to Petri net with priorities.

Suggested Citation

  • Ciuiu, Daniel, 2010. "Modeling the fraud-like investment founds by Petri nets," MPRA Paper 23589, University Library of Munich, Germany, revised May 2010.
  • Handle: RePEc:pra:mprapa:23589
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    File URL: https://mpra.ub.uni-muenchen.de/23589/1/MPRA_paper_23589.pdf
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    References listed on IDEAS

    as
    1. Ciuiu, Daniel, 2008. "Pattern classification using polynomial and linear regression," MPRA Paper 15355, University Library of Munich, Germany.
    2. Albu, Lucian Liviu, 2008. "A Model To Estimate Spatial Distribution Of Informal Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 5(4), pages 111-124, December.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Petri nets; fraud-like investment founds; objects programming.;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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