The Changepoint Model for Statistical Process Control

By Douglas M. Hawkins, Peihua Qiu, C. Kang. 2003

408 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1b68c1cbc5fb1d036d7911c6a7f59fa2085900ea

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In Statistics and Probability

Citations in the corpus

Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006, methodology): “As noted by Hawkins and Olwell (1998, p. 161) and by Hawkins et al. (2003), a chart that has the Vol. 38, No.4, October 2006 desirable property of being sensitive to small shifts in a process has the undesirable property of being more severely impacted by parameter estimation.”
A Self-Starting Control Chart for Linear Profiles (2007, background): “In particular, Hawkins et al. (2003) and Hawkins and Zamba (2005a, 2005b) proposed a change-point model based on the likelihood ratio for on-line monitoring that can also be seen as a self- starting method.”
Combined Shewhart–EWMA control charts with estimated parameters (2010, methodology): “In these situations, we recommend, at least until a suitable number of observations becomes available, the use of alternative charting methods such as the generalized likelihood procedure 18 or the self-starting control charts 19 20 21 .”
Self-starting control chart for simultaneously monitoring process mean and variance (2010, background): “( 2003 ) and Hawkins and Zamba ( 2005a , b ) propose a change-point model based on the likelihood ratio for on-line monitoring that can also be seen as a self-starting method.”
Adaptive nonparametric CUSUM scheme for detecting unknown shifts in location (2014, background): “Li and Wang (2010) proposed a self-starting approach that integrates the CUSUM of the Q chart and the feature of adaptively varying the reference value, to better detect a range of shifts with unknown process parameters. Li, Luo, and Wang (2009) proposed an adaptive CUSUM of the Q chart with variabl”
Nonparametric control chart based on change-point model (2009, background): “m•t 11 ) Note that the estimator of change-point given by Pignatiello and Samuel (2001)”
Distribution-free monitoring of univariate processes (2011, methodology): “…II SPC charts have been proposed, including different versions of the Shewhart chart, the cumulative sum (CUSUM) chart, the exponentially weighted moving average (EWMA) chart, and the chart based on change-point detection (cf., e.g., Hawkins and Olwell 1998, Hawkins et al. 2003, Montgomery 2009).”
A Change-Point Model for a Shift in Variance (2005, background): “Hawkins, Qiu, and Kang (2003) (which we abbreviate to HQK) address the constant-variance mean-change-point formulation in which the mean might change but the variance remains constant.”
Combining filtering and statistical methods for anomaly detection (2005, methodology): “We implemented here a variant of the classical GLR method described in [7].”
Learning in Nonstationary Environments: A Survey (2015, methodology): “These statistical techniques [58] aim at verifying whether the sequence contains a change-point (i.”
A Nonparametric EWMA Sign Chart for Location Based on Individual Measurements (2011, background): “( 2003 ) brought a new perspective to the standards unknown case by the introduction of the change-point model.”
CONTROL CHART FOR MONITORING NONPARAMETRIC PROFILES WITH ARBITRARY DESIGN (2009, methodology): “On the NPC-S chart: As suggested by Hawkins et al. (2003), we recommend collecting three to ten IC profile samples before using the NPC-S chart.”