IDEAS home Printed from https://ideas.repec.org/a/idp/bizinf/y2013i8p110_116.html
   My bibliography  Save this article

Confidence Regions in Econometrics of Complex Variables

Author

Listed:
  • Chanysheva Amina F.

    (National University of Mineral Resource \"Gornyi\")

Abstract

The article is a result of a complex study devoted to laying the foundation of the complex-valued economy - modern prospective direction in the field of socio-economic forecasting. The article is devoted to the issues of obtaining interval estimates for complex-valued linear regression equations. The author substantiates selection of the form of confidence regions and also considers three approaches to its building up. On the basis of the study, the article draws a conclusion that practically all factual values of the observed variable are inside the confidence region, calculated for confidence probability 95%. This testifies to a good selection of the model to the original data and effectiveness of the method of finding confidence regions offered in this article.

Suggested Citation

  • Chanysheva Amina F., 2013. "Confidence Regions in Econometrics of Complex Variables," Business Inform, RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics, issue 8, pages 110-116.
  • Handle: RePEc:idp:bizinf:y:2013:i:8:p:110_116
    as

    Download full text from publisher

    File URL: https://www.business-inform.net/pdf/2013/8_0/110_116.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:8:p:110_116. 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.