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The exact solution of the average run length on a modified EWMA control chart for the first-order moving-average process
9 references·3 citing·34 second hop
The exact solution of the average run length on a modified EWMA control chart for the first-order moving-average process (2020)The exact solution of the average run len…Exact solution of the average run length for the cumulative sum chart for a moving average process of order q (2015)Exact solution of the average…Numerical Approximations of Average Run Length for AR(1) on Exponential CUSUM (2012)Numerical Approximations of A…SPC Procedures for Monitoring Autocorrelated Processes (2007)SPC Procedures for Monitoring…Comparative study of the performance of the CuSum and EWMA control charts (2004)Comparative study of the perf…A Statistical Control Chart for Stationary Process Data (1998)A Statistical Control Chart f…Performance of CUSUM Control Schemes for Serially Correlated Observations (1993)Performance of CUSUM Control …Introduction to Statistical Quality Control (1992)Introduction to Statistical Q…Control Chart Tests Based on Geometric Moving Averages (1959)Control Chart Tests Based on …CONTINUOUS INSPECTION SCHEMES (1954)CONTINUOUS INSPECTION SCHEMESStatistical Design for Monitoring Process Mean of a Modified EWMA Control Chart based on Autocorrelated Data (2021)Statistical Design for Monito…EWMA control chart based on its first hitting time and coronavirus alert levels for monitoring symmetric COVID-19 cases (2021)EWMA control chart based on i…The performance of a modified EWMA control chart for monitoring autocorrelated PM2.5 and carbon monoxide air pollution data (2020)The performance of a modified…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)Cusum Charts for Monitoring an Autocorrelated Process (2001)Time Series Analysis: Forecasting and Control (1977)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)A New SPC Monitoring Method: The ARMA Chart (2000)Robustness to non-normality and autocorrelation of individuals control charts (2000)Distribution-free cumulative sum control charts using bootstrap-based control limits (2009)Economic Control of Quality of Manufactured Product. (1932)Numerical Integration of Average Run Length of CUSUM Control Chart for ARMA Process (2014)Multivariate copulas on the MCUSUM control chart (2017)Exact Run Length Evaluation on a Two-Sided Modified Exponentially Weighted Moving Average Chart for Monitoring Process Mean (2021)Introduction to Time Series and Forecasting (2002)CUSUM Monitoring of First-Order Integer-Valued Autoregressive Processes of Poisson Counts (2009)Bridging the gap between theory and practice in basic statistical process monitoring (2016)Statistical Learning Methods Applied to Process Monitoring: An Overview and Perspective (2016)Run-Length Distributions of Special-Cause Control Charts for Correlated Processes (1994)An Approach to the Probability Distribution of Cusum Run Length (1972)Side-sensitive synthetic and runs-rules charts for monitoring AR(1) processes with skipping sampling strategies (2019)Detection Sensitivity of a Modified EWMA Control Chart with a Time Series Model with Fractionality and Integration (2022)Accurate Average Run Length Analysis for Detecting Changes in a Long-Memory Fractionally Integrated MAX Process Running on EWMA Control Chart (2023)Procedures for Reacting to a Change in Distribution (1971)changepoint : An R Package for Changepoint Analysis (2014)Selective review of offline change point detection methods (2019)A new monitoring design for uni-variate statistical quality control charts (2009)Statistical control charts as a support tool for the management of livestock production (2010)A Mixed EWMA–CUSUM Control Chart for Weibull‐Distributed Quality Characteristics (2016)Time-Series Modeling for Statistical Process Control (1988)Statistical process control as a tool for research and healthcare improvement (2003)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)The Exponentially Weighted Moving Average (1986)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)
this work references cited by second hop

References

  • 1992Introduction to Statistical Quality Control7,842 cited
  • 1954CONTINUOUS INSPECTION SCHEMES5,731 cited
  • 1959Control Chart Tests Based on Geometric Moving Averages1,544 cited
  • 1998A Statistical Control Chart for Stationary Process Data189 cited
  • 1993Performance of CUSUM Control Schemes for Serially Correlated Observations166 cited
  • 2007SPC Procedures for Monitoring Autocorrelated Processes114 cited
  • 2004Comparative study of the performance of the CuSum and EWMA control charts93 cited
  • 2015Exact solution of the average run length for the cumulative sum chart for a moving average process of order q19 cited
  • 2012Numerical Approximations of Average Run Length for AR(1) on Exponential CUSUM17 cited

Cited by

  • 2020The performance of a modified EWMA control chart for monitoring autocorrelated PM2.5 and carbon monoxide air pollution data13 cited
  • 2021EWMA control chart based on its first hitting time and coronavirus alert levels for monitoring symmetric COVID-19 cases10 cited
  • 2021Statistical Design for Monitoring Process Mean of a Modified EWMA Control Chart based on Autocorrelated Data9 cited

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