4.5 Article

Online monitoring of autocorrelated multivariate linear profiles via multivariate mixed models

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Summary: Profile monitoring has become a popular research direction in statistical process control, focusing on modeling profile data. The article introduces a method using a linear mixed-effect model framework with B-splines and a multivariate Gaussian process to handle multivariate profiles, showing better flexibility and reduced computational cost. Extensive simulations and a case study are conducted to compare the proposed model with classic models, demonstrating its advantages.

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