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A comparison study of penalized likelihood via regularization and support vector-based control charts
15 references·1 citing·42 second hopsampled
A comparison study of penalized likelihood via regularization and support vector-based control charts (2022)A comparison study of penalized likelihoo…Change detection using least squares one-class classification control chart (2020)Change detection using least …Kernel methods for changes detection in covariance matrices (2017)Kernel methods for changes de…Monitoring the mean vector with Mahalanobis kernels (2016)Monitoring the mean vector wi…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…A Variable-Selection-Based Multivariate EWMA Chart for Process Monitoring and Diagnosis (2012)A Variable-Selection-Based Mu…Self-Starting Multivariate Control Charts for Location and Scale (2011)Self-Starting Multivariate Co…Multivariate Statistical Process Control Using LASSO (2009)Multivariate Statistical Proc…High-Dimensional Process Monitoring and Fault Isolation via Variable Selection (2009)High-Dimensional Process Moni…Self-Starting Multivariate Exponentially Weighted Moving Average Control Charting (2007)Self-Starting Multivariate Ex…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 Multivariate Exponentially Weighted Moving Average Control Chart (1992)A Multivariate Exponentially …Nonparametric monitoring of high-dimensional processes via EWMA control charts based on random forest learning (2025)Nonparametric monitoring of h…Comparisons of MultivariateCUSUMCharts (1990)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Multivariate Statistical Process Control with Industrial Applications (2002)Recent Advances in Process Monitoring: Nonparametric and Variable-Selection Methods for Phase I and Phase II (2014)Phase I Distribution-Free Analysis of Multivariate Data (2017)An improved process monitoring by mixed multivariate memory control charts: An application in wind turbine field (2020)Control Chart Tests Based on Geometric Moving Averages (1959)Multivariate SPC Methods for Process and Product Monitoring (1996)Control Chart Tests Based on Geometric Moving Averages (2000)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)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)Simultaneous monitoring of process mean vector and covariance matrix via penalized likelihood estimation (2014)Phase-I monitoring of high-dimensional covariance matrix using an adaptive thresholding LASSO rule (2020)Multivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)A Multivariate Sign EWMA Control Chart (2011)A Change-Point Approach for Phase-I Analysis in Multivariate Profile Monitoring and Diagnosis (2015)Nonparametric (distribution-free) control charts: An updated overview and some results (2019)Time-Series Modeling for Statistical Process Control (1988)Introduction to Statistical Quality Control (1992)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)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)Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective (2016)Multivariate CUSUM Quality-Control Procedures (1985)Using Control Charts to Monitor Process and Product Quality Profiles (2004)An Efficient Online Monitoring Method for High-Dimensional Data Streams (2014)Kollár Ádám Ferenc levelezése (2000)A Distribution‐Free Multivariate Control Chart for Phase I Applications (2014)Tr(R 2 ) control charts based on kernel density estimation for monitoring multivariate variability process (2019)A review of dispersion control charts for multivariate individual observations (2020)Performance of t control charts in short runs with unknown shift sizes (2012)A Multivariate Sign Chart for Monitoring Process Shape Parameters (2013)
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References

  • 1992A Multivariate Exponentially Weighted Moving Average Control Chart1,231 cited
  • 2009Multivariate Statistical Process Control Using LASSO225 cited
  • 2003A kernel-distance-based multivariate control chart using support vector methods198 cited
  • 2009High-Dimensional Process Monitoring and Fault Isolation via Variable Selection167 cited
  • 2012A Variable-Selection-Based Multivariate EWMA Chart for Process Monitoring and Diagnosis85 cited
  • 2007Self-Starting Multivariate Exponentially Weighted Moving Average Control Charting76 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
  • 2013A LASSO Chart for Monitoring the Covariance Matrix39 cited
  • 2013Monitoring the covariance matrix with fewer observations than variables37 cited
  • 2011Self-Starting Multivariate Control Charts for Location and Scale36 cited
  • 2016Monitoring the mean vector with Mahalanobis kernels19 cited
  • 2020Change detection using least squares one-class classification control chart19 cited

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2017
Kernel methods for changes detection in covariance matrices
14 cited

Cited by

  • 2025Nonparametric monitoring of high-dimensional processes via EWMA control charts based on random forest learning10 cited