Statistical monitoring of nonlinear product and process quality profiles

By James D. Williams, William H. Woodall, Jeffrey B. Birch. Quality and Reliability Engineering International, 2007

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NONPARAMETRIC CONTROL CHART FOR MONITORING PROFILES USING CHANGE POINT FORMULATION AND ADAPTIVE SMOOTHING (2009, background): “statisticians. For instance, Williams, Woodall and Birch (2007) suggest three”
Phase II Monitoring of Nonlinear Profiles (2009, methodology): “The estimated dose-response curve of a manufactured drug presented by Williams et al. (2007) can be considered as another example of nonlinear profile.”
CONTROL CHART FOR MONITORING NONPARAMETRIC PROFILES WITH ARBITRARY DESIGN (2009, background): “In some applications, within-profile observations might be spatially or serially correlated, and between-profile observations might be auto-correlated (cf., Williams et al. 2007a,b, Zou et al. 2007a).”
The monitoring of simple linear regression profiles with two observations per sample (2010, methodology): “[20] to monitor dose-response profiles used in high throughput screening.”
Current research on profile monitoring (2007, methodology): “Their approach is contrasted with that of Williams, Woodall, and Birch (2007) using the same set of particleboard vertical density profi le data.”
A CUSUM-based method for monitoring simple linear profiles (2009, unknown): “[18], and Jensen and Birch [4].”
Profile Monitoring with Binary Data and Random Predictors (2011, unknown): “Nonlinear profile models were investigated by Williams et al. (2007).”