• ROBUST ESTIMATION FOR THE PARAMETERS OF CHEN DISTRIBUTION AND ITS APPLICATION

Abstract

In this study, various estimation approaches are used to estimate the parameters of the Chen distribution in the presence of outliers. The maximum likelihood and least squares estimation methods are used as classical methods, while the M-estimation method is used as a robust estimation method. The simulation study is carried out to compare between different methods of estimation based on the bias and mean square error (MSE). Finally, the data that are concerned with the remission in patients with bladder cancer are used as an application to the outlier data