The Comparison of Two Multiple Testing Methods for Outliers Detection in Nonparametric Profile Monitoring

Multiple testing is one of the methods to analyze such data. We apply multiple testing methods in profile monitoring. Profile monitoring is a relatively new method of quality control, which is best used when data processing is performed using curves or profiles within a given period. In this research, we introduce two multiple testing methods for outlier profile detection. We compare the performance of these two methods by simulations.

Keywords:

Local linear Kernel Smoothing , Multiple testing , Nonparametric Mixed-effects models , Parametric Bootstrap , Profile monitoring