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• W266331346 startingPage "1683" @default.
• W266331346 abstract "For signalling alarms sooner when the dispersion of a multivariate process is “increased”, a multivariate control chart for Phase II process monitoring is proposed as a supplementary tool to the usual monitoring schemes designed for detecting general changes in the covariance matrix. The proposed chart is constructed based on the one-sided likelihood ratio test (LRT) for testing the hypothesis that the covariance matrix of the quality characteristic vector of the current process, Σ, is “larger” than that of the in-control process, Σ0, in the sense that Σ−Σ0 is positive semidefinite and Σ 6= Σ0. Assuming Σ0 is known, the LRT statistic is derived and then used to construct the control chart. A simulation study shows that the proposed control chart indeed outperforms three existing two-sided-test-based control charts under comparison in terms of the average run length. The applicability and effectiveness of the proposed control chart are demonstrated through a semiconductor example and two simulations." @default.
• W266331346 created "2016-06-24" @default.
• W266331346 creator A5065783412 @default.
• W266331346 creator A5078936969 @default.
• W266331346 date "2010-10-01" @default.
• W266331346 modified "2023-09-23" @default.
• W266331346 title "A MULTIVARIATE CONTROL CHART FOR DETECTING INCREASES IN PROCESS DISPERSION" @default.
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