Journal of Al-Qadisiyah for Computer Science and Mathematics

Abstract

In this paper the robust-loess method is used to estimate the nonparametric regression function. The Loess is non-robust method and used in case of outliers where it bases on the less squares in regression which affects by presence of outliers. In this paper, the robust-loess has been implemented through applying the last absolute residuals and bi-square techniques which enhanced robustness to the weighted least squares in loess.