Activity Number:
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269
- Statistical Process Monitoring Methods
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 9, 2022 : 10:30 AM to 12:20 PM
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Sponsor:
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Quality and Productivity Section
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Abstract #322353
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Title:
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Multivariate Monitoring via Trees
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Author(s):
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Eric Chicken* and Daniel Timme and Andres F. Barrientos and Debajyoti Sinha
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Companies:
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Florida State University and Florida State University and Florida State University and Florida State University
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Keywords:
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Statistical Process Control;
CART;
Random Trees;
Nonparametric
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Abstract:
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We consider change-point detection and estimation in sequences of multivariate functional observations. A nonparametric method utilizing Classification and Regression Trees (CART) to build a sequence of regression trees is proposed which makes use of the Kolmogorov-Smirnov statistic to monitor profile behavior. Our novel method compares favorably to existing methods in the literature
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Authors who are presenting talks have a * after their name.