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A Least Angle Regression Control Chart for Multidimensional Data

Summary: [This abstract is based on the authors' abstract.] This article discusses combining a variable selection method with a multivariate control chart to detect changes in mean and variability of a multidimensional process with Gaussian errors. A Phase II monitoring control chart is developed which integrates the least angle regression algorithm and a multivariate exponentially weighted moving average. The proposed method is compared with existing multivariate process control schemes to demonstrate its utility in a wide variety of applications.

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  • Topics: Statistical Process Control (SPC), Process Management
  • Keywords: Exponentially weighted moving average (EWMA), Exponentially weighted moving average control charts (EWMA), Multivariate control charts, Statistical process control (SPC), Variable selection
  • Author: Capizzi, Giovanna; Masarotto, Guido
  • Journal: Technometrics