Partial Sliced Inverse Regression for Quality-Relevant Multivariate Statistical Process Monitoring

Details Partial Sliced Inverse Regression for Quality-Relevant Multivariate Statistical Process Monitoring Partial Sliced Inverse Regression for Quality-Relevant Multivariate Statistical Process Monitoring

2012-02-02

arxiv.org/abs/1202.0373v1

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This paper introduces a popular dimension reduction method, sliced inverse regression (SIR), into multivariate statistical process monitoring. Provides an extension of SIR for the single-index model by adopting the idea from partial least squares (PLS). Our partial sliced inverse regression (PSIR) method has the merit of incorporating information from both predictors (x) and responses (y), and it has capability of handling large, nonlinear, or "n

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