Abstract
In this research suggest the construction of quality control charts for parameters of simple linear regression and the mean squares error (Linear Profile Monitoring) depending on robust estimators (M-Estimator), which was estimated weights through a bi-square function and then compare them with the classical charts that depend on the method of ordinary least squares (OLS) when there an outlier values for randomly generated data (Simulation) have a normal distribution, for this purpose, the program language MATLAB design and research concluded that the proposed charts more accurate than of classical charts.
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