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On autoregressive model selection for the exponentially weighted moving average control chart of residuals in monitoring the mean of autocorrelated processes
16 references·1 citing·34 second hop
On autoregressive model selection for the exponentially weighted moving average control chart of residuals in monitoring the mean of autocorrelated processes (2020)On autoregressive model selection for the…Statistical quality control : a modern introduction (2009)Statistical quality control :…Using recurrent neural networks to detect changes in autocorrelated processes for quality monitoring (2007)Using recurrent neural networ…Artificial neural networks in applying MCUSUM residuals charts for AR(1) processes (2007)Artificial neural networks in…Autocorrelated SPC for Non-Normal Situations (2005)Autocorrelated SPC for Non-No…Assignable Causes and Autocorrelation: Control Charts for Observations or Residuals? (2002)Assignable Causes and Autocor…Shifts recognition in correlated process data using a neural network (2001)Shifts recognition in correla…Cusum Charts for Monitoring an Autocorrelated Process (2001)Cusum Charts for Monitoring a…A New SPC Monitoring Method: The ARMA Chart (2000)A New SPC Monitoring Method: …EWMA Control Charts for Monitoring the Mean of Autocorrelated Processes (1999)EWMA Control Charts for Monit…Performance of CUSUM Control Schemes for Serially Correlated Observations (1993)Performance of CUSUM Control …The effect of autocorrelation on the retrospectiveX-chart (1992)The effect of autocorrelation…Some Statistical Process Control Methods for Autocorrelated Data (1991)Some Statistical Process Cont…Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Exponentially Weighted Moving…Design of Exponentially Weighted Moving Average Schemes (1989)Design of Exponentially Weigh…A ONE-POINT PLOT EQUIVALENT TO THE SHEWHART CHART WITH WESTERN ELECTRIC RULES (1989)A ONE-POINT PLOT EQUIVALENT T…Monitoring Sewage Treatment Plants: Some Quality Control Aspects (1978)Monitoring Sewage Treatment P…An Improved Hidden Markov Model for Monitoring the Process with Autocorrelated Observations (2022)An Improved Hidden Markov Mod…Time Series Analysis Forecasting and Control. (1971)Time-Series Modeling for Statistical Process Control (1988)The State of Statistical Process Control as We Proceed into the 21st Century (2000)A Rank-Based Multivariate CUSUM Procedure (2001)The Performance of Exponentially Weighted Moving Average Charts With Estimated Parameters (2001)Time Series Analysis: Forecasting and Control (1977)Introduction to Statistical Quality Control (1992)Brocess capability with asymmetric tolerances (1994)Research Issues and Ideas in Statistical Process Control (1999)Controversies and Contradictions in Statistical Process Control (2000)Time Series Analysis: Forecasting and Control (1977)A Cumulative Sum Control Chart for Monitoring Process Variance (1995)On the run length of a Shewhart chart for correlated data (1995)Robustness to non-normality and autocorrelation of individuals control charts (2000)CONTINUOUS INSPECTION SCHEMES (1954)Extreme Values, Regular Variation and Point Processes (1987)The Asymptotic Theory of Extreme Order Statistics (1990)Monitoring Processes That Wander Using Integrated Moving Average Models (1996)The GLRT for statistical process control of autocorrelated processes (1999)Optimal Properties of Exponentially Weighted Forecasts (1960)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)A review of multivariate control charts (1995)An Approach to the Probability Distribution of Cusum Run Length (1972)Control Charts for Time Series: A Review (2004)A Markov Chain Model for the Adaptive CUSUM Control Chart (2006)SPC Procedures for Monitoring Autocorrelated Processes (2007)Statistical process control procedures for correlated observations (1991)The AutoregressiveT2 Chart for Monitoring Univariate Autocorrelated Processes (2002)Control Chart Tests Based on Geometric Moving Averages (1959)Time Series Analysis Forecasting and Control (1971)An EWMA for Monitoring a Process Standard Deviation (1992)Evaluating measurement and process capabilities by GR&R with four quality measures (2010)The variable sample size t control chart for monitoring short production runs (2012)A system for online detection and classification of wafer bin map defect patterns for manufacturing intelligence (2013)
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References

  • 1990Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements1,939 cited
  • 1991Some Statistical Process Control Methods for Autocorrelated Data604 cited
  • 2009Statistical quality control : a modern introduction572 cited
  • 1989Design of Exponentially Weighted Moving Average Schemes395 cited
  • 1999EWMA Control Charts for Monitoring the Mean of Autocorrelated Processes303 cited
  • 1993Performance of CUSUM Control Schemes for Serially Correlated Observations166 cited
  • 2000A New SPC Monitoring Method: The ARMA Chart165 cited
  • 2001Cusum Charts for Monitoring an Autocorrelated Process152 cited
  • 1978Monitoring Sewage Treatment Plants: Some Quality Control Aspects138 cited
  • 1992The effect of autocorrelation on the retrospectiveX-chart121 cited
  • 2007Using recurrent neural networks to detect changes in autocorrelated processes for quality monitoring56 cited
  • 2007Artificial neural networks in applying MCUSUM residuals charts for AR(1) processes47 cited
  • 2005Autocorrelated SPC for Non-Normal Situations44 cited
  • 2001Shifts recognition in correlated process data using a neural network41 cited
  • 2002Assignable Causes and Autocorrelation: Control Charts for Observations or Residuals?

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40 cited
  • 1989A ONE-POINT PLOT EQUIVALENT TO THE SHEWHART CHART WITH WESTERN ELECTRIC RULES33 cited
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    • 2022An Improved Hidden Markov Model for Monitoring the Process with Autocorrelated Observations11 cited