IDEAS home Printed from https://ideas.repec.org/a/ddj/fseeai/y2010i2p119-130.html
   My bibliography  Save this article

Statistical Analysis Through Factors Path Method

Author

Listed:
  • Gabriela OPAIT

    (Dunarea de Jos Univesity of Galati, Romania)

Abstract

The present research reflects the importance in statistics of the „Factors Path Method” (FPM), which provides modern techniques for the reflection of the factorial influences over of the variation in time or space presented by the phenomenons from economy. The purpose of this paper is the research of the shape concerning the model described through the road achieved by factors, with other words if the shape is an arc of curve or if the shape is a liner trend. Also, this paper presents how it uses „Factors Path Method” for to calculate what influence it had in relative sizes, respectively absolute sizes, the variation of nominal G.D.P., respectively the change of the level concerning actual G.D.P., over of the dynamic for the level of G.D.P. Prices Deflator for U.S.A., in 2006 face of 1996

Suggested Citation

  • Gabriela OPAIT, 2010. "Statistical Analysis Through Factors Path Method," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 119-130.
    • Handle: RePEc:ddj:fseeai:y:2010:i:2:p:119-130
    as

    Download full text from publisher

    File URL: http://www.ann.ugal.ro/eco/Doc2010_2/Opait.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daniela NECHITA & Florina Oana VIRLANUTA, 2014. "Change in Education. Challenges of the Education System," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 25-28.

    More about this item

    Keywords

    Gross Domestic Product (GDP); Factor Path Method (FPM); influences; dynamic;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

    Statistics

    Access and download statistics

    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:ddj:fseeai:y:2010:i:2:p:119-130. 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: Gianina Mihai (email available below). General contact details of provider: https://edirc.repec.org/data/fegalro.html .

    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.