Ordinary Least Squares and Robust Estimators in Linear Regression: Impacts of Outliers, Error and Response Contaminations
David Adedia, Atinuke Adebanji, Moremi Labeodan & Shola Adeyemi · Journal of Advances in Mathematics and Computer Science · 2015
The Ordinary Least Squares Estimator (OLSE) is the best method for linear regression if the classical assumptions are satis ed for estimating weights. When these assumptions are violated, the robust methods give more reliable estimates while the OLSE is strongly a ected adversely...
Open access
Research Article
10.9734/BJMCS/2016/22876