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   the comparison of two multiple testing methods for outliers detection in nonparametric profile monitoring  
   
نویسنده rajabi m. ,faridrohani mr.
منبع international journal of industrial mathematics - 2019 - دوره : 11 - شماره : 3 - صفحه:213 -221
چکیده    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 different multiple testing methods for outlier profile detection. we compare the performance of these methods by simulations.
کلیدواژه local linear kernel smoothing ,multiple testing ,nonparametric mixed-effects models ,parametric bootstrap ,profile monitoring
آدرس islamic azad university, science and research branch, department of statistics, iran, shahid beheshti university, department of statistics, iran
پست الکترونیکی m faridrohani@sbu.ac.ir
 
     
   
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