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Nonparametric Profile Monitoring by Mixed Effects Modeling

Summary: [This abstract is based on the authors' abstract.] Most existing control charts monitor only parametric profiles and assume that within-profile measurements are independent of each other. This study examines nonparametric profile monitoring when the within-profile data are correlated. A control chart is described that incorporates local linear kernel smoothing within the exponentially weighted moving average (EWMA) control scheme. The within-profile correlation is described by a nonparametric mixed-effects model.

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  • Topics: Statistical Process Control (SPC)
  • Keywords: Kernel density estimates, Data smoothing, Statistical process control (SPC), Nonparametric methods, Exponentially weighted moving average (EWMA), Modeling
  • Author: Qiu, Peihua; Zou, Changliang; Wang, Zhaojun
  • Journal: Technometrics