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