Title of article :
The Comparison of Two Multiple Testing Methods for Outliers Detection in Nonparametric Profile Monitoring
Author/Authors :
Rajabi, M. Department of Statistics - Science and Research Branch, Islamic Azad University, Tehran, Iran , Faridrohani, MR. Department of Statistics - Shahid Beheshti University, Tehran, Iran
Abstract :
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 :
Profile monitoring , Parametric Bootstrap , Nonparametric Mixed-effects models , Local linear Kernel Smoothing , Multiple testing
Journal title :
Astroparticle Physics
