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Change detection using least squares one-class classification control chart
8 references·1 citing·32 second hop
Change detection using least squares one-class classification control chart (2020)Change detection using least squares one-…Monitoring the mean vector with Mahalanobis kernels (2016)Monitoring the mean vector wi…Simultaneous monitoring of process mean vector and covariance matrix via penalized likelihood estimation (2014)Simultaneous monitoring of pr…Monitoring the covariance matrix with fewer observations than variables (2013)Monitoring the covariance mat…A LASSO Chart for Monitoring the Covariance Matrix (2013)A LASSO Chart for Monitoring …Monitoring the covariance matrix via penalized likelihood estimation (2012)Monitoring the covariance mat…Monitoring multivariate process variability with individual observations via penalised likelihood estimation (2012)Monitoring multivariate proce…Kernel distance-based robust support vector methods and its application in developing a robust K-chart (2005)Kernel distance-based robust …A kernel-distance-based multivariate control chart using support vector methods (2003)A kernel-distance-based multi…A comparison study of penalized likelihood via regularization and support vector-based control charts (2022)A comparison study of penaliz…A Multivariate Exponentially Weighted Moving Average Control Chart (1992)Regression Adjustment for Variables in Multivariate Quality Control (1993)Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes (2006)A new multivariate EWMA scheme for monitoring covariance matrices (2013)Phase-I monitoring of high-dimensional covariance matrix using an adaptive thresholding LASSO rule (2020)Introduction to Statistical Quality Control (1992)Monitoring Process Mean and Variability with One EWMA Chart (2001)Introduction to Statistical Quality Control (2005)Sum of Squares Control Charts for Monitoring of Multivariate Multiple Linear Regression Profiles in Phase II (2016)A new adaptive control chart for the simultaneous monitoring of the mean and variability of multivariate normal processes (2020)Time-Series Modeling for Statistical Process Control (1988)Introduction to Statistical Quality Control (2001)Support vector regression based residual MCUSUM control chart for autocorrelated process (2008)Integration of support vector machines and control charts for multivariate process monitoring (2010)Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes (2012)Multivariate Quality Control (1947)A Distribution‐Free Multivariate Control Chart for Phase I Applications (2014)A review of dispersion control charts for multivariate individual observations (2020)Research Issues and Ideas in Statistical Process Control (1999)Controversies and Contradictions in Statistical Process Control (2000)Control charts for variability monitoring in high-dimensional processes (2019)Statistical monitoring of the covariance matrix in multivariate processes: A literature review (2021)A review of multivariate control charts (1995)One-class classification-based control charts for multivariate process monitoring (2009)A Multivariate Sign EWMA Control Chart (2011)Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective (2016)Kollár Ádám Ferenc levelezése (2000)Tr(R 2 ) control charts based on kernel density estimation for monitoring multivariate variability process (2019)Multivariate SPC Methods for Process and Product Monitoring (1996)Statistical process control as a tool for research and healthcare improvement (2003)High-dimensional data monitoring using support machines (2019)Multivariate Statistical Process Control Using LASSO (2009)
this work references cited by second hop

References

  • 2003A kernel-distance-based multivariate control chart using support vector methods198 cited
  • 2012Monitoring the covariance matrix via penalized likelihood estimation59 cited
  • 2005Kernel distance-based robust support vector methods and its application in developing a robust K-chart53 cited
  • 2012Monitoring multivariate process variability with individual observations via penalised likelihood estimation45 cited
  • 2014Simultaneous monitoring of process mean vector and covariance matrix via penalized likelihood estimation42 cited
  • 2013A LASSO Chart for Monitoring the Covariance Matrix39 cited
  • 2013Monitoring the covariance matrix with fewer observations than variables37 cited
  • 2016Monitoring the mean vector with Mahalanobis kernels19 cited

Cited by

  • 2022A comparison study of penalized likelihood via regularization and support vector-based control charts11 cited

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