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Ewma control chart under linear drift
14 references·16 citing·33 second hop
Ewma control chart under linear drift (1991)Ewma control chart under linear driftExponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Exponentially Weighted Moving…Design of Exponentially Weighted Moving Average Schemes (1989)Design of Exponentially Weigh…Performance of the Control Chart Trend Rule under Linear Shift (1988)Performance of the Control Ch…Average Run Lengths of Exponentially Weighted Moving Average Control Charts (1987)Average Run Lengths of Expone…A Simple Method for Studying Run – Length Distributions of Exponentially Weighted Moving Average Charts (1987)A Simple Method for Studying …The Exponentially Weighted Moving Average (1986)The Exponentially Weighted Mo…The Performance of Control Charts and Cusums Under Linear Trend (1984)The Performance of Control Ch…Average Run Lengths of Geometric Moving Average Charts by Numerical Methods (1978)Average Run Lengths of Geomet…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…An Approach to the Probability Distribution of Cusum Run Length (1972)An Approach to the Probabilit…Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis, Forecas…A Comparison of Some Control Chart Procedures (1966)A Comparison of Some Control …Control Chart Tests Based on Geometric Moving Averages (1959)Control Chart Tests Based on …CONTINUOUS INSPECTION SCHEMES (1954)CONTINUOUS INSPECTION SCHEMESEnhanced Gamma truncated EWMA-type control charts: One-sided schemes for deterministic and non-deterministic mean shifts in high-quality process monitoring (2025)Enhanced Gamma truncated EWMA…Navigating Process Drift: The Power of CUSUM in Monitoring Air Quality Processes and Maintenance Operations (2024)Navigating Process Drift: The…Gradual variance change point detection with a smoothly changing mean trend (2020)Gradual variance change point…Scaling-up process characterization (2017)Scaling-up process characteri…More on Control Charting Under Drift (2012)More on Control Charting Unde…Modifying simple linear profiles monitoring schemes in phase II to detect decreasing step shifts and drifts (2012)Modifying simple linear profi…A Generalized Likelihood Ratio Control Chart for Monitoring the Process Mean Subject to Linear Drifts (2012)A Generalized Likelihood Rati…Bayesian estimation of the time of a linear trend in risk-adjusted control charts (2011)Bayesian estimation of the ti…Comparisons of control schemes for monitoring the means of processes subject to drifts (2008)Comparisons of control scheme…Detection of linear trends in process mean (2005)Detection of linear trends in…Ch. 13. Control chart schemes for monitoring the mean and variance of processes subject to sustained shifts and drifts (2003)Ch. 13. Control chart schemes…SHEWHART AND ZONE CONTROL CHART PERFORMANCE UNDER LINEAR TREND (2002)SHEWHART AND ZONE CONTROL CHA…Detecting When a Monotonically Increasing Mean Has Crossed a Threshold (1999)Detecting When a Monotonicall…Control charts based on order-restricted tests (1997)Control charts based on order…Short run spc based upon the second order dynamic linear model for trend detection (1993)Short run spc based upon the …Exponentially weighted moving average control charts with reflecting boundaries (1993)Exponentially weighted moving…Optimal Properties of Exponentially Weighted Forecasts (1960)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)A review of multivariate control charts (1995)Research Issues and Ideas in Statistical Process Control (1999)Control Chart Tests Based on Geometric Moving Averages (1959)Statistical Process Monitoring and Feedback Adjustment: A Discussion (1992)Run-Length Distributions of Special-Cause Control Charts for Correlated Processes (1994)Control Chart Tests Based on Geometric Moving Averages (2000)Economic Control of Quality of Manufactured Product. (1932)A Note on Multivariate CUSUM Procedures (1987)Statistical process control procedures for correlated observations (1991)Sequential Changepoint Detection in Quality Control and Dynamical Systems (1995)Time Series Analysis: Forecasting and Control (1977)Time-Series Modeling for Statistical Process Control (1988)Some Statistical Process Control Methods for Autocorrelated Data (1991)Multivariate SPC Charts for Monitoring Batch Processes (1995)Time Series Analysis Forecasting and Control (1971)An EWMA for Monitoring a Process Standard Deviation (1992)EWMA Control Charts for Monitoring the Mean of Autocorrelated Processes (1999)The Performance of Exponentially Weighted Moving Average Charts With Estimated Parameters (2001)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)Exact Results for Shewhart Control Charts With Supplementary Runs Rules (1987)Multivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)Comparisons of MultivariateCUSUMCharts (1990)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)Long memory relationships and the aggregation of dynamic models (1980)Understanding spurious regressions in econometrics (1986)25 years of time series forecasting (2006)An Adaptive Exponentially Weighted Moving Average Control Chart (2003)
this work references cited by second hop

References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 1954CONTINUOUS INSPECTION SCHEMES5,731 cited
  • 1971Time Series Analysis, Forecasting and Control.2,771 cited
  • 1990Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements1,939 cited
  • 1986The Exponentially Weighted Moving Average1,146 cited
  • 1972An Approach to the Probability Distribution of Cusum Run Length886 cited
  • 1966A Comparison of Some Control Chart Procedures542 cited
  • 1959Control Chart Tests Based on Geometric Moving Averages492 cited
  • 1987A Simple Method for Studying Run – Length Distributions of Exponentially Weighted Moving Average Charts476 cited
  • 1989Design of Exponentially Weighted Moving Average Schemes395 cited
  • 1978Average Run Lengths of Geometric Moving Average Charts by Numerical Methods163 cited
  • 1987Average Run Lengths of Exponentially Weighted Moving Average Control Charts99 cited
  • 1988Performance of the Control Chart Trend Rule under Linear Shift91 cited
  • 1984The Performance of Control Charts and Cusums Under Linear Trend46 cited

Cited by

  • 1999Detecting When a Monotonically Increasing Mean Has Crossed a Threshold

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31 cited
  • 1993Exponentially weighted moving average control charts with reflecting boundaries29 cited
  • 2002SHEWHART AND ZONE CONTROL CHART PERFORMANCE UNDER LINEAR TREND22 cited
  • 2008Comparisons of control schemes for monitoring the means of processes subject to drifts21 cited
  • 1993Short run spc based upon the second order dynamic linear model for trend detection20 cited
  • 2005Detection of linear trends in process mean16 cited
  • 2017Scaling-up process characterization16 cited
  • 2024Navigating Process Drift: The Power of CUSUM in Monitoring Air Quality Processes and Maintenance Operations14 cited
  • 2012A Generalized Likelihood Ratio Control Chart for Monitoring the Process Mean Subject to Linear Drifts13 cited
  • 2012Modifying simple linear profiles monitoring schemes in phase II to detect decreasing step shifts and drifts13 cited
  • 2003Ch. 13. Control chart schemes for monitoring the mean and variance of processes subject to sustained shifts and drifts13 cited
  • 2011Bayesian estimation of the time of a linear trend in risk-adjusted control charts9 cited
  • 2012More on Control Charting Under Drift8 cited
  • 2020Gradual variance change point detection with a smoothly changing mean trend6 cited
  • 1997Control charts based on order-restricted tests6 cited
  • 2025Enhanced Gamma truncated EWMA-type control charts: One-sided schemes for deterministic and non-deterministic mean shifts in high-quality process monitoring5 cited