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Aspecte metodologice privind transformarea modelelor neliniare în modele liniare de regresie

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Author Info

  • 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)

Abstract

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.

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Bibliographic Info

Article provided by Romanian Statistical Review in its journal Romanian Statistical Review Supplement.

Volume (Year): 60 (2012)
Issue (Month): 3 (September)
Pages: 295-303

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Handle: RePEc:rsr:supplm:v:60:y:2012:i:3:p:295-303

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Keywords: regression model; hypotheses; parameters; estimators; variables;

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