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A generally weighted moving average chart for time between events
16 references·16 citing·36 second hopsampled
A generally weighted moving average chart for time between events (2016)A generally weighted moving average chart…A Generally Weighted Moving Average Signed‐rank Control Chart (2016)A Generally Weighted Moving A…An Extended Nonparametric Exponentially Weighted Moving Average Sign Control Chart (2014)An Extended Nonparametric Exp…Extended maximum generally weighted moving average control chart for monitoring process mean and variability (2011)Extended maximum generally we…A nonparametric exponentially weighted moving average signed-rank chart for monitoring location (2011)A nonparametric exponentially…A Nonparametric EWMA Sign Chart for Location Based on Individual Measurements (2011)A Nonparametric EWMA Sign Cha…Statistical quality control : a modern introduction (2009)Statistical quality control :…An EWMA chart for monitoring the process standard deviation when parameters are estimated (2009)An EWMA chart for monitoring …Phase I Statistical Process Control Charts: An Overview and Some Results (2008)Phase I Statistical Process C…A control chart for the Gamma distribution as a model of time between events (2007)A control chart for the Gamma…Economic design of exponential charts for time between events monitoring (2005)Economic design of exponentia…The Generally Weighted Moving Average Control Chart for Detecting Small Shifts in the Process Mean (2003)The Generally Weighted Moving…Some effective control chart procedures for reliability monitoring (2002)Some effective control chart …Designs of One- and Two-Sided Exponential EWMA Charts (1998)Designs of One- and Two-Sided…Design of Optimal Exponential CUSUM Control Charts (1994)Design of Optimal Exponential…Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Exponentially Weighted Moving…Average Run Lengths for CUSUM Schemes When Observations Are Exponentially Distributed (1985)Average Run Lengths for CUSUM…On the performance and comparison of various memory-type control charts (2024)On the performance and compar…Monitoring processes with multiple dependent production lines using time between events control charts (2023)Monitoring processes with mul…Max-EWMA chart for time and magnitude monitoring using generalized exponential distribution (2022)Max-EWMA chart for time and m…An improved exponential EWMA chart for monitoring time between events (2022)An improved exponential EWMA …The case against generally weighted moving average (GWMA) control charts (2021)The case against generally we…Max‐EWMA chart for time and magnitude monitoring using exponentially modified Gaussian distribution (2021)Max‐EWMA chart for time and m…Joint monitoring of post-sales online review processes based on a distribution-free EWMA scheme (2021)Joint monitoring of post-sale…Failure rate monitoring in generalized gamma-distributed process (2021)Failure rate monitoring in ge…Monitoring reliability for a gamma distribution with a double progressive mean control chart (2020)Monitoring reliability for a …Generally weighted moving average monitoring schemes: Overview and perspectives (2020)Generally weighted moving ave…A triple exponentially weighted moving average control chart for monitoring time between events (2020)A triple exponentially weight…A progressive mean control chart for monitoring time between events (2019)A progressive mean control ch…A generally weighted moving average control chart for zero‐inflated Poisson processes (2019)A generally weighted moving a…A double exponentially weighted moving average chart for time between events (2019)A double exponentially weight…A generally weighted moving average exceedance chart (2018)A generally weighted moving a…A CUSUM chart for detecting the intensity ratio of negative events (2017)A CUSUM chart for detecting t…Introduction to Statistical Quality Control (1992)Control Chart Tests Based on Geometric Moving Averages (2000)Progressive Mean Control Chart for Monitoring Process Location Parameter (2012)The triple 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Statistical Process Control Can Help! (2019)The Economic Design of Control Charts: A Unified Approach (1986)Detecting a Shift in Fraction Nonconforming Using Run-Length Control Charts with 100% Inspection (1991)An economically designed, integrated quality and maintenance model using an adaptive Shewhart chart (2008)Properties of the exponential EWMA chart with parameter estimation (2009)Optimal Stopping Times for Detecting Changes in Distributions (1986)Statistical Surveillance. Optimality and Methods (2003)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)Control Charts Based on the Exponential Distribution: Adapting Runs Rules for the t Chart (2013)Guaranteed Conditional Performance of Control Charts via Bootstrap Methods (2013)Guaranteed Conditional Performance of Control Charts via Bootstrap Methods (2016)
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References

  • 1990Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements1,939 cited
  • 2009Statistical quality control : a modern introduction572 cited
  • 2002Some effective control chart procedures for reliability monitoring271 cited
  • 2008Phase I Statistical Process Control Charts: An Overview and Some Results180 cited
  • 2003The Generally Weighted Moving Average Control Chart for Detecting Small Shifts in the Process Mean171 cited
  • 1998Designs of One- and Two-Sided Exponential EWMA Charts169 cited
  • 1985Average Run Lengths for CUSUM Schemes When Observations Are Exponentially Distributed162 cited
  • 2007A control chart for the Gamma distribution as a model of time between events123 cited
  • 2009An EWMA chart for monitoring the process standard deviation when parameters are estimated116 cited
  • 2011A nonparametric exponentially weighted moving average signed-rank chart for monitoring location104 cited
  • 1994Design of Optimal Exponential CUSUM Control Charts100 cited
  • 2011A Nonparametric EWMA Sign Chart for Location Based on Individual Measurements89 cited
  • 2014An Extended Nonparametric Exponentially Weighted Moving Average Sign Control Chart73 cited
  • 2011Extended maximum generally weighted moving average control chart for monitoring process mean and variability

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50 cited
  • 2005Economic design of exponential charts for time between events monitoring50 cited
  • 2016A Generally Weighted Moving Average Signed‐rank Control Chart42 cited
  • Cited by

    • 2019A double exponentially weighted moving average chart for time between events31 cited
    • 2020Generally weighted moving average monitoring schemes: Overview and perspectives30 cited
    • 2021Joint monitoring of post-sales online review processes based on a distribution-free EWMA scheme28 cited
    • 2020A triple exponentially weighted moving average control chart for monitoring time between events26 cited
    • 2017A CUSUM chart for detecting the intensity ratio of negative events22 cited
    • 2019A progressive mean control chart for monitoring time between events21 cited
    • 2021The case against generally weighted moving average (GWMA) control charts21 cited
    • 2018A generally weighted moving average exceedance chart17 cited
    • 2021Failure rate monitoring in generalized gamma-distributed process15 cited
    • 2021Max‐EWMA chart for time and magnitude monitoring using exponentially modified Gaussian distribution15 cited
    • 2020Monitoring reliability for a gamma distribution with a double progressive mean control chart13 cited
    • 2019A generally weighted moving average control chart for zero‐inflated Poisson processes13 cited
    • 2022An improved exponential EWMA chart for monitoring time between events12 cited
    • 2023Monitoring processes with multiple dependent production lines using time between events control charts12 cited
    • 2024On the performance and comparison of various memory-type control charts11 cited
    • 2022Max-EWMA chart for time and magnitude monitoring using generalized exponential distribution11 cited