Economics at your fingertips  

Aspecte metodologice privind transformarea modelelor neliniare în modele liniare de regresie

Gabriela-Victoria Anghelache, Constantin Anghelache, Alexandru Manole and Lorand Kralik
Additional contact information
Gabriela-Victoria Anghelache: Academia de Studii Economice – Bucuresti
Constantin Anghelache: ASE Bucuresti/Universitatea Artifex - Bucuresti
Alexandru Manole: Universitatea Artifex - Bucuresti

Romanian Statistical Review Supplement, 2012, vol. 60, issue 3, 295-303

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.

Keywords: regression model; hypotheses; parameters; estimators; variables (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc

Downloads: (external link) (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

More articles in Romanian Statistical Review Supplement from Romanian Statistical Review Contact information at EDIRC.
Bibliographic data for series maintained by Adrian Visoiu ().

Page updated 2024-03-31
Handle: RePEc:rsr:supplm:v:60:y:2012:i:3:p:295-303