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A Multivariate Change Point Detection Procedure for Monitoring Mean and Covariance Simultaneously
16 references·1 citing·37 second hop
A Multivariate Change Point Detection Procedure for Monitoring Mean and Covariance Simultaneously (2012)A Multivariate Change Point Detection Pro…Multivariate Quality Control (2013)Multivariate Quality ControlA multivariate control chart for simultaneously monitoring process mean and variability (2010)A multivariate control chart …Control charts for monitoring the mean vector and the covariance matrix of bivariate processes (2009)Control charts for monitoring…A Multivariate Change-Point Model for Change in Mean Vector and/or Covariance Structure (2009)A Multivariate Change-Point M…Comparison of Multivariate Control Charts for Process Dispersion (2007)Comparison of Multivariate Co…Multivariate Max-Chart (2006)Multivariate Max-ChartA New Multivariate Control Chart for Monitoring Both Location and Dispersion (2005)A New Multivariate Control Ch…Multivariate control charts for process dispersion (2004)Multivariate control charts f…Multivariate Control Chart for Process Dispersion Based on Individual Observations (2003)Multivariate Control Chart fo…Estimation of the Change Point of a Normal Process Mean in SPC Applications (2001)Estimation of the Change Poin…Kollár Ádám Ferenc levelezése (2000)Kollár Ádám Ferenc levelezéseChange-point detection of mean vector or covariance matrix shifts using multivariate individual observations (2000)Change-point detection of mea…IDENTIFYING THE TIME OF A STEP CHANGE WITH X¯ CONTROL CHARTS (1998)IDENTIFYING THE TIME OF A STE…IDENTIFYING THE TIME OF A STEP CHANGE IN A NORMAL PROCESS VARIANCE (1998)IDENTIFYING THE TIME OF A STE…A review of multivariate control charts (1995)A review of multivariate cont…17 Multivariate process control (1988)17 Multivariate process contr…Step change point estimation in the multivariate-attribute process variability using artificial neural networks and maximum likelihood estimation (2015)Step change point estimation …Quality Control and Industrial Statistics. (1967)Quality Control and Industrial Statistics. (1975)Introduction to Statistical Quality Control (1992)Multivariate Control Charts for Monitoring Covariance Matrix: A Review (2006)Multivariate Bayesian Control Chart (2008)On efficient use of auxiliary information for control charting in SPC (2013)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)Inference About the Change-Point in a Sequence of Random Variables (1970)Use of Cumulative Sums of Squares for Retrospective Detection of Changes of Variance (1994)Characterization of non-linear profiles variations using mixed-effect models and wavelets (2011)System Monitoring with Real-Time Contrasts (2012)Phase I Distribution-Free Analysis of Multivariate Data (2017)Introduction to Statistical Quality Control (1997)Change Point Estimation Methods for Control Chart Postsignal Diagnostics: A Literature Review (2011)Multivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)Multivariate SPC Charts for Monitoring Batch Processes (1995)Contributors to a multivariate statistical process control chart signal (1996)Comparison of Three Multivariate Process Capability Indices (2000)Multivariate Exponentially Weighted Moving Covariance Matrix (2008)Research Issues and Ideas in Statistical Process Control (1999)Monitoring the covariance matrix via penalized likelihood estimation (2012)On monitoring process variability under double sampling scheme (2012)CONTINUOUS INSPECTION SCHEMES (1954)Control Chart Tests Based on Geometric Moving Averages (1959)A Self-Starting Control Chart for Linear Profiles (2007)Nonparametric control chart based on change-point model (2007)A Spatiotemporal Method for the Monitoring of Image Data (2012)Optimal designs of the multivariate synthetic chart for monitoring the process mean vector based on median run length (2011)A Multivariate Sign Chart for Monitoring Process Shape Parameters (2013)A Control Chart for the Multivariate Coefficient of Variation (2015)IDENTIFYING THE TIME OF A STEP-CHANGE IN THE PROCESS FRACTION NONCONFORMING (2001)A hybrid fuzzy-statistical clustering approach for estimating the time of changes in fixed and variable sampling control charts (2009)A Review and Perspective on Control Charting with Image Data (2011)Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014)Overview of PCA-Based Statistical Process-Monitoring Methods for Time-Dependent, High-Dimensional Data (2015)
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References

  • 1995A review of multivariate control charts703 cited
  • 2000Kollár Ádám Ferenc levelezése613 cited
  • 2013Multivariate Quality Control159 cited
  • 2001Estimation of the Change Point of a Normal Process Mean in SPC Applications143 cited
  • 1998IDENTIFYING THE TIME OF A STEP CHANGE WITH X¯ CONTROL CHARTS142 cited
  • 198817 Multivariate process control139 cited
  • 2010A multivariate control chart for simultaneously monitoring process mean and variability92 cited
  • 2005A New Multivariate Control Chart for Monitoring Both Location and Dispersion90 cited
  • 1998IDENTIFYING THE TIME OF A STEP CHANGE IN A NORMAL PROCESS VARIANCE81 cited
  • 2000Change-point detection of mean vector or covariance matrix shifts using multivariate individual observations78 cited
  • 2009A Multivariate Change-Point Model for Change in Mean Vector and/or Covariance Structure42 cited
  • 2003Multivariate Control Chart for Process Dispersion Based on Individual Observations39 cited
  • 2004Multivariate control charts for process dispersion35 cited
  • 2007Comparison of Multivariate Control Charts for Process Dispersion25 cited
  • 2006Multivariate Max-Chart20 cited

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  • 2009Control charts for monitoring the mean vector and the covariance matrix of bivariate processes17 cited
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    • 2015Step change point estimation in the multivariate-attribute process variability using artificial neural networks and maximum likelihood estimation10 cited