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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

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