IDEAS home Printed from
   My bibliography  Save this article

Aspecte metodologice privind transformarea modelelor neliniare în modele liniare de regresie


  • Gabriela-Victoria ANGHELACHE

    (Academia de Studii Economice – Bucuresti)

  • Constantin ANGHELACHE

    (ASE Bucuresti/Universitatea Artifex - Bucuresti)

  • Alexandru MANOLE

    (Universitatea Artifex - Bucuresti)

  • Lorand KRALIK

    (Academia de Studii Economice – Bucuresti)


Starting from the non-linear single factorial models, authors approach the linear regression model topic, by explicating the parameter estimation methodology, test of properties for the estimators of the regression model and the conditions for the use of regression in forecasting. The methodology used in the determination of the linear model parameters, by taking into account the form and density of the correlation, was exemplified with the help of two methods: least squares method and maximum likelihood method.

Suggested Citation

  • Gabriela-Victoria ANGHELACHE & Constantin ANGHELACHE & Alexandru MANOLE & Lorand KRALIK, 2012. "Aspecte metodologice privind transformarea modelelor neliniare în modele liniare de regresie," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 60(3), pages 295-303, September.
  • Handle: RePEc:rsr:supplm:v:60:y:2012:i:3:p:295-303

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Martinez, M. T. & Fouletier, P. & Park, K. H. & Favrel, J., 2001. "Virtual enterprise - organisation, evolution and control," International Journal of Production Economics, Elsevier, vol. 74(1-3), pages 225-238, December.
    Full references (including those not matched with items on IDEAS)


    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:rsr:supplm:v:60:y:2012:i:3:p:295-303. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Adrian Visoiu). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.