On identification methods of linear regression models
The aim of this paper is to discus the efficiency of the least squares and least absolute values estimation methods, in such situations, then the sample is with outliers, the variance of the residuals changes in the time and the residuals are correlated. A range of different modifications of these...
Saved in:
Main Author: | Romualdas Salėtis |
---|---|
Format: | Article |
Language: | English |
Published: |
Vilnius University Press
1999-12-01
|
Series: | Lietuvos Matematikos Rinkinys |
Online Access: | https://www.zurnalai.vu.lt/LMR/article/view/35666 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Properties of the coefficient estimators for the linear regression model with heteroskedastic error term
by: Alfredas Račkauskas, et al.
Published: (2023-09-01) -
Green gram yield prediction using linear regression
by: Tumusiime, Robert, et al.
Published: (2025) -
Application of Multiple Linear Regression Analysis on Academic Performance in Universities.
by: Nareeba, Crispus
Published: (2024) -
LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers
by: Durmus Ozkan Sahin, et al.
Published: (2022-01-01) -
Network element methods for linear elasticity
by: Coatléven, Julien
Published: (2023-12-01)