Aspecte metodologice privind transformarea modelelor neliniare în modele liniare de regresie
AbstractStarting 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Romanian Statistical Review in its journal Romanian Statistical Review Supplement.
Volume (Year): 60 (2012)
Issue (Month): 3 (September)
Contact details of provider:
Postal: 16 Libertatii Avenue, Sector 5, Bucureşti, Code 70542
Phone: 004 021 336 2691
Fax: 004 021 3124873
Web page: http://www.revistadestatistica.ro
More information through EDIRC
regression model; hypotheses; parameters; estimators; variables;
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral 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).
If references are entirely missing, you can add them using this form.