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Simultaneous Univariate X_bar Charts to Control Bivariate Processes with Autocorrelated Data
8 references·0 citing·32 second hop
Simultaneous Univariate X_bar Charts to Control Bivariate Processes with Autocorrelated Data (2014)Simultaneous Univariate X_bar Charts to C…Model-based Multivariate Monitoring Charts for Autocorrelated Processes (2013)Model-based Multivariate Moni…A Class of Markov Chain Models for Average Run Length Computations for Autocorrelated Processes (2013)A Class of Markov Chain Model…The use of principal components and univariate charts to control multivariate processes (2008)The use of principal componen…Shift detection and source identification in multivariate autocorrelated processes (2008)Shift detection and source id…Using vector autoregressive residuals to monitor multivariate processes in the presence of serial correlation (2006)Using vector autoregressive r…Multivariate Quality Control Chart for Autocorrelated Processes (2004)Multivariate Quality Control …Univariate X control charts for individual characteristics in a multinormal model (2000)Univariate X control charts f…MULTIVARIATE AND UNIVARIATE PROCESS CONTROL: GEOMETRY AND SHIFT DIRECTIONS (1997)MULTIVARIATE AND UNIVARIATE P…Time-Series Modeling for Statistical Process Control (1988)Introduction to Statistical Quality Control (1992)Introduction to Time Series and Forecasting (2002)The skipping strategy to reduce the effect of the autocorrelation on the T 2 chart’s performance (2015)TheT2chart with mixed samples to control bivariate autocorrelated processes (2015)The Shewhart-type RZ control chart for monitoring the ratio of autocorrelated variables (2022)Time Series Analysis: Forecasting and Control (1977)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)The effect of the autocorrelation on the performance of the T 2 chart (2015)Deep recurrent neural network‐based residual control chart for autocorrelated processes (2019)Pattern recognition in financial surveillance with the ARMA-GARCH time series model using support vector machine (2021)Comparisons of MultivariateCUSUMCharts (1990)Introduction to Statistical Quality Control (2005)Advanced multivariate cumulative sum control charts based on principal component method with application (2021)Machine learning based parameter-free adaptive EWMA control chart to monitor process dispersion (2024)Multivariate Quality Control (1947)Some Statistical Process Control Methods for Autocorrelated Data (1991)The quality control chart for monitoring multivariate autocorrelated processes (2006)The Effect of Autocorrelation on the Hotelling T2 Control Chart (2014)A nonparametric CUSUM chart for monitoring multivariate serially correlated processes (2020)A review of multivariate control charts (1995)Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes (2012)Impact of Autocorrelation on Principal Components and Their Use in Statistical Process Control (2015)Time Series Analysis: Forecasting and Control. (1978)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Disaster spread simulation and rescue time optimization in a resource network (2014)Experimental characterization of spatial variability for random field modeling on struts of additively manufactured lattice structures (2020)The Economic Design of X Charts Used to Maintain Current Control of a Process (1956)The Economic Design of Control Charts: A Unified Approach (1986)Effect of Dependency in Systems for Multivariate Surveillance (2009)Improving automatic‐controlled process quality using adaptive principal component monitoring (1999)Cycle-based signal monitoring using a directionally variant multivariate control chart system (2005)
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References

  • 2004Multivariate Quality Control Chart for Autocorrelated Processes87 cited
  • 2006Using vector autoregressive residuals to monitor multivariate processes in the presence of serial correlation57 cited
  • 2008Shift detection and source identification in multivariate autocorrelated processes42 cited
  • 2013Model-based Multivariate Monitoring Charts for Autocorrelated Processes25 cited
  • 1997MULTIVARIATE AND UNIVARIATE PROCESS CONTROL: GEOMETRY AND SHIFT DIRECTIONS20 cited
  • 2008The use of principal components and univariate charts to control multivariate processes18 cited
  • 2013A Class of Markov Chain Models for Average Run Length Computations for Autocorrelated Processes14 cited
  • 2000Univariate X control charts for individual characteristics in a multinormal model12 cited

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