Development of normal-based change-point methods has given a new perspective to the problem of unknown parameters. To further this development, a nonparametric tool based on the change-point model for statistical process control is considered. The performance of this method is better than the parametric approach for small to moderate shifts in normal data and involves relatively easy computation.
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