Journal
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
Volume 81, Issue 12, Pages 1897-1911Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00949655.2010.507765
Keywords
data mining; Hotelling's T-2; multivariate statistical process control; supervised classification method
Funding
- National Research Foundation of Korea [20100003811]
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We propose new multivariate control charts that can effectively deal with massive amounts of complex data through their integration with classification algorithms. We call the proposed control chart the 'Probability of Class (PoC) chart' because the values of PoC, obtained from classification algorithms, are used as monitoring statistics. The control limits of PoC charts are established and adjusted by the bootstrap method. Experimental results with simulated and real data showed that PoC charts outperform Hotelling's T-2 control charts. Further, a simulation study revealed that a small proportion of out-of-control observations are sufficient for PoC charts to achieve the desired performance.
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