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2010 | 11 | 1 | 70-80

Article title

An application of branching processes in stochastic modeling of economic development

Content

Title variants

Languages of publication

EN

Abstracts

EN
In our paper, a stochastic model of forecasting of the numer of firms of a given type, acting on the market in a given year, is proposed. The model uses the probabilistic tools of the theory of branching processes. Our approach is an alternative method to the forecasting methods proposed so far, including those based on time series. The theoretical results presented in the paper may be applied in the forecasting of the market position of the firms of a given sector.

Year

Volume

11

Issue

1

Pages

70-80

Physical description

Dates

published
2010

Contributors

  • Department of Applied Mathematics, Warsaw University of Life Sciences
  • Department of Applied Mathematics, Warsaw University of Life Sciences
  • Department of Applied Mathematics, Warsaw University of Life Sciences
  • Department of Applied Mathematics, Warsaw University of Life Sciences

References

  • Cieślak M. (2001) ""Prognozowanie gospodarcze. Metody i zastosowanie"", PWN.
  • Chybalski F. ""Tendencje rozwojowe sektora MSP w Polsce"", available on Internet.
  • Dawidowicz A. L., Kulczycki P., Tumidajowicz D. (1995) ""A stochastic model of the development of alpine rhododendron"", Univ. Iagellonicae Acta Math., XXXII, pp. 37-55.
  • Epps T. W. (1996) ""Stock proces as branchimg processes"", Commun. Statist. – Stochastic models, 12 (6), pp. 529-558.
  • Gajek L., Kałuszka M. (1999) ""Wnioskowanie statystyczne. Modele i metody"", WNT.
  • Haccou P., Jagers P, Vatutin V. A. (2005) ""Branching Processes"", Cambridge Studies in Adaptive Dynamics, 5, Cambridge.
  • Harvey A. C. (1989) ""Forecasting, Structural Time Series and the Kalman Filter"", Cambridge University Press.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-fe91223d-9535-4693-a6e2-0d0db6035b37
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