IDEAS home Printed from https://ideas.repec.org/a/idp/bizinf/y2013i10p92_97.html
   My bibliography  Save this article

Interpretation and Forecasting Processes, Represented by Time Series, on the Basis of the Extended Logistic Mapping

Author

Listed:
  • Skalozub Vladyslav V.

    (Dnepropetrovsk National University of Railway Transport named after academician V. Lazaran)

  • Klymenko Ivan V.

    (Dnepropetrovsk National University of Railway Transport named after academician V. Lazaran)

Abstract

The article studies a possibility of use of methods of non-linear dynamics for structuring an operative forecast of complex and structured processes described by time series. It offers a model of extended logistic mapping for interpretation of characteristics of dynamic processes. It studies procedures of interpretation of data and forecasting parameters of the processes, represented by time series, that use models of extended logistic mapping. It offers methods of recurrent structuring of an operative forecast. In order to increase accuracy of obtained results, the article recommends to correct values of model parameters by means of assessment of new sets of values by the method of exponential smoothing. It provides results of application of the model of extended logistic mapping for structuring an operative forecast of processes of the railway transport, in particular, assessment of parameters of the carriage traffic volumes.

Suggested Citation

  • Skalozub Vladyslav V. & Klymenko Ivan V., 2013. "Interpretation and Forecasting Processes, Represented by Time Series, on the Basis of the Extended Logistic Mapping," Business Inform, RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics, issue 10, pages 92-97.
    • Handle: RePEc:idp:bizinf:y:2013:i:10:p:92_97
    as

    Download full text from publisher

    File URL: https://www.business-inform.net/pdf/2013/10_0/92_97.pdf
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:idp:bizinf:y:2013:i:10:p:92_97. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Khaustova Viktoriia (email available below). General contact details of provider: https://www.business-inform.net .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.