The Comparison Between Maximum Weighted and Trimmed Likelihood Estimator of the Simple Circular Regression Model

Abstract

The Maximum Likelihood Estimator (MLE) was used to estimate unknown parameters of the simple circular regression model. However, it is very sensitive to outliers in data set. A robust method to estimate model parameters is proposed.