Atinuke Adebanji

Leverages, Outliers and the Performance of Robust Regression Estimators

David Adedia, Atinuke Adebanji, Eric Okyere & James Kwaku Agyen · Journal of Advances in Mathematics and Computer Science · 2016

This study compared the performance of some robust regression methods and the Ordinary Least Squares Estimator (OLSE). The estimators were compared using varied levels of leverages and vertical outliers in the predictors and the dependent variables. An anthropometric dataset on t...

Open access Research Article 10.9734/BJMCS/2016/24281

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