A New Algorithm for Detecting Outliers in Linear Regression
A New Algorithm for Detecting Outliers in Linear Regression
In this paper, we present a new algorithm for detecting multiple outliers in linear regression. The algorithm is based on a non-iterative robust covariance matrix and concentration steps used in LTS estimation. A robust covariance matrix is constructed to calculate Mahalanobis distances of independent variables which are then used as …