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Multivariate Statistical Quality Control Using R
0 references·16 citing·43 second hopsampled
Multivariate Statistical Quality Control Using R (2012)Multivariate Statistical Quality Control …Detecting mean changes in experience sampling data in real time: A comparison of univariate and multivariate statistical process control methods. (2021)Detecting mean changes in exp…Dual multivariate CUSUM charts with auxiliary information for process mean (2020)Dual multivariate CUSUM chart…One-sided and two one-sided MEWMA charts for monitoring process mean (2019)One-sided and two one-sided M…New adaptive EWMA control charts for monitoring univariate and multivariate coefficient of variation (2019)New adaptive EWMA control cha…Multivariate Mixed EWMA-CUSUM Control Chart for Monitoring the Process Variance-Covariance Matrix (2019)Multivariate Mixed EWMA-CUSUM…Dual multivariate CUSUM mean charts (2019)Dual multivariate CUSUM mean …A Multivariate Homogeneously Weighted Moving Average Control Chart (2019)A Multivariate Homogeneously …Shrinkage estimates of covariance matrices to improve the performance of multivariate cumulative sum control charts (2018)Shrinkage estimates of covari…Multivariate coefficient of variation control charts in phase I of SPC (2018)Multivariate coefficient of v…Monitoring urban environmental pollution by bivariate control charts: New methodology and case study in Santiago, Chile (2018)Monitoring urban environmenta…New Synthetic CUSUM and Synthetic EWMA Control Charts for Monitoring the Process Mean using Auxiliary Information (2017)New Synthetic CUSUM and Synth…A New Maximum EWMA Control Chart for Simultaneously Monitoring Process Mean and Dispersion Using Auxiliary Information (2017)A New Maximum EWMA Control Ch…A new double sampling control chart for monitoring process mean using auxiliary information (2017)A new double sampling control…A new synthetic control chart for monitoring process mean using auxiliary information (2016)A new synthetic control chart…A Multivariate Control Chart for Autocorrelated Tool Wear Processes (2016)A Multivariate Control Chart …The effect of the autocorrelation on the performance of the T 2 chart (2015)The effect of the autocorrela…Multivariate Quality Control-illustrated by the air testing of sample bombsights (1947)Introduction to Statistical Quality Control (1992)Effect of measurement error and autocorrelation on theX¯chart (2010)A bibliometric analysis of 50 years of worldwide research on statistical process control (2016)Optimizing joint location-scale monitoring – An adaptive distribution-free approach with minimal loss of information (2018)Some robust approaches based on copula for monitoring bivariate processes and component-wise assessment (2020)Control Chart Tests Based on Geometric Moving Averages (1959)Control Chart Tests Based on Geometric Moving Averages (2000)Mixed memory control chart based on auxiliary information for simultaneously monitoring of process parameters: An application in glass field (2021)CONTINUOUS INSPECTION SCHEMES (1954)Monitoring Process Mean and Variability with One EWMA Chart (2001)A new Max-HEWMA control chart using auxiliary information (2018)New GWMA‐CUSUM control chart for monitoring the process dispersion (2018)Optimal CUSUM and adaptive CUSUM charts with auxiliary information for process mean (2018)Detecting a Shift in Fraction Nonconforming Using Run-Length Control Charts with 100% Inspection (1991)A Synthetic Control Chart for Detecting Small Shifts in the Process Mean (2000)Memory‐type multivariate control charts with auxiliary information for process mean (2018)A review and critique of auxiliary information-based process monitoring methods (2022)Quality Control and Industrial Statistics. (1967)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Enhancing the performance of the EWMA control chart for monitoring the process mean using auxiliary information (2018)Multivariate cumulative sum control chart for compositional data with known and estimated process parameters (2022)Signal-to-Noise Ratios, Performance Criteria, and Transformations (1988)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)Efficient CV Control Charts Based on Ranked Set Sampling (2019)On the performance of CUSUM control charts for monitoring the coefficient of variation with measurement errors (2019)Introduction to Statistical Quality Control (1987)A review of multivariate control charts (1995)A bootstrap control chart for Birnbaum–Saunders percentiles (2008)A Methodology for Data-Driven Decision-Making in the Monitoring of Particulate Matter Environmental Contamination in Santiago of Chile (2020)Control charts for monitoring the median parameter of Birnbaum‐Saunders distribution (2020)Bootstrap control charts for quantiles based on log‐symmetric distributions with applications to the monitoring of reliability data (2022)Multivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)A mixed HWMA‐CUSUM mean chart with an application to manufacturing process (2020)The impracticality of homogeneously weighted moving average and progressive mean control chart approaches (2021)The Sharpe Ratio (1994)CUSUM Charts for Signalling Varying Location Shifts (2000)An Adaptive Exponentially Weighted Moving Average Control Chart (2003)A parameter-free adaptive EWMA mean chart (2019)A one-sided adaptive truncated exponentially weighted moving average scheme for time between events (2022)A one-sided exponentially weighted moving average control chart for time between events (2021)Modified one-sided EWMA charts for monitoring time between events (2021)
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  • 2016A new synthetic control chart for monitoring process mean using auxiliary information75 cited
  • 2019New adaptive EWMA control charts for monitoring univariate and multivariate coefficient of variation59 cited
  • 2019A Multivariate Homogeneously Weighted Moving Average Control Chart50 cited
  • 2017A new double sampling control chart for monitoring process mean using auxiliary information48 cited
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  • 2018Monitoring urban environmental pollution by bivariate control charts: New methodology and case study in Santiago, Chile40 cited
  • 2015The effect of the autocorrelation on the performance of the T 2 chart36 cited
  • 2018Multivariate coefficient of variation control charts in phase I of SPC35 cited
  • 2018Shrinkage estimates of covariance matrices to improve the performance of multivariate cumulative sum control charts32 cited
  • 2019One-sided and two one-sided MEWMA charts for monitoring process mean31 cited
  • 2017New Synthetic CUSUM and Synthetic EWMA Control Charts for Monitoring the Process Mean using Auxiliary Information29 cited
  • 2016A Multivariate Control Chart for Autocorrelated Tool Wear Processes26 cited
  • 2019Multivariate Mixed EWMA-CUSUM Control Chart for Monitoring the Process Variance-Covariance Matrix

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23 cited
  • 2020Dual multivariate CUSUM charts with auxiliary information for process mean21 cited
  • 2021Detecting mean changes in experience sampling data in real time: A comparison of univariate and multivariate statistical process control methods.19 cited
  • 2019Dual multivariate CUSUM mean charts19 cited