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A binomial CUSUM chart for detecting large shifts in fraction nonconforming
16 references·14 citing·42 second hopsampled
A binomial CUSUM chart for detecting large shifts in fraction nonconforming (2008)A binomial CUSUM chart for detecting larg…Weighted-loss-function CUSUM chart for monitoring mean and variance of a production process (2005)Weighted-loss-function CUSUM …Dual CUSUM control schemes for detecting a range of mean shifts (2005)Dual CUSUM control schemes fo…Should Observations Be Grouped for Effective Process Monitoring? (2004)Should Observations Be Groupe…A Moving Average Control Chart for Monitoring the Fraction Non‐conforming (2004)A Moving Average Control Char…A Synthetic Control Chart for Detecting Fraction Nonconforming Increases (2001)A Synthetic Control Chart for…A general approach to modeling CUSUM charts for a proportion (2000)A general approach to modelin…Research Issues and Ideas in Statistical Process Control (1999)Research Issues and Ideas in …A CUSUM Chart for Monitoring a Proportion When Inspecting Continuously (1999)A CUSUM Chart for Monitoring …An optimal design of CUSUM control charts for binomial counts (1993)An optimal design of CUSUM co…Evaluation of average run lengths of cumulative sum charts for an arbitrary data distribution (1992)Evaluation of average run len…Detecting a Shift in Fraction Nonconforming Using Run-Length Control Charts with 100% Inspection (1991)Detecting a Shift in Fraction…CUSUM Charts With Variable Sampling Intervals (1990)CUSUM Charts With Variable Sa…The Statistical Design of Quality Control Charts (1985)The Statistical Design of Qua…Counted Data CUSUM's (1985)Counted Data CUSUM'sOn the Markov Chain Approach to the Two-Sided CUSUM Procedure (1984)On the Markov Chain Approach …The Economic Design of p-Charts to Maintain Current Control of o Process: Some Numerical Results (1978)The Economic Design of p-Char…Shewhart-EWMA chart for monitoring binomial data subject to shifts of random amounts (2024)Shewhart-EWMA chart for monit…A nonparametric control chart for monitoring count data mean (2023)A nonparametric control chart…Self‐information‐based weighted CUSUM charts for monitoring Poisson count data with varying sample sizes (2020)Self‐information‐based weight…Monitoring of zero-inflated binomial processes with a DEWMA control chart (2020)Monitoring of zero-inflated b…EWMA control charts for monitoring correlated counts with finite range (2020)EWMA control charts for monit…An improved design of exponentially weighted moving average scheme for monitoring attributes (2019)An improved design of exponen…Count data monitoring: Parametric or nonparametric? (2018)Count data monitoring: Parame…Control charts for monitoring correlated counts with a finite range (2017)Control charts for monitoring…Run rules based phase IIcandnpcharts when process parameters are unknown (2015)Run rules based phase IIcandn…CUSUM Control Charts for the Monitoring of Zero-inflated Binomial Processes (2015)CUSUM Control Charts for the …Binomial CUSUM chart with curtailment (2014)Binomial CUSUM chart with cur…Optimal average sample number of the SPRT chart for monitoring fraction nonconforming (2013)Optimal average sample number…Development of a multiattribute synthetic-np chart (2013)Development of a multiattribu…An optimisation design of the combined np-CUSUM scheme for attributes (2013)An optimisation design of the…The Economic Design of X Charts Used to Maintain Current Control of a Process (1956)Introduction to Quality Engineering (2008)A Review and perspective on surveillance of Bernoulli processes (2011)Optimal design of the synthetic chart for the process mean based on median run length (2012)New Attributes and Variables Control Charts under Repetitive Sampling (2014)CONTINUOUS INSPECTION SCHEMES (1954)Procedures for Reacting to a Change in Distribution (1971)Optimal Stopping Times for Detecting Changes in Distributions (1986)Control Charts and the Efficient Allocation of Sampling Resources (2004)A Change-Point Model for a Shift in Variance (2005)A synthetic control chart for the coefficient of variation (2011)An Approach to the Probability Distribution of Cusum Run Length (1972)Exact Results for Shewhart Control Charts With Supplementary Runs Rules (1987)Control Charts Based on Attribute Data: Bibliography and Review (1997)A Synthetic Control Chart for Detecting Small Shifts in the Process Mean (2000)Out of the Crisis (1982)Introduction to Statistical Quality Control (1992)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Kollár Ádám Ferenc levelezése (2000)Using Control Charts to Monitor Process and Product Quality Profiles (2004)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)An Evaluation of a GLR Control Chart for Monitoring the Process Mean (2010)Optimal Design of a CUSUM Chart for a Mean Shift of Unknown Size (2010)Mixed CUSUM-EWMA chart for monitoring process dispersion (2016)Combined Shewhart-CUSUM Quality Control Schemes (1982)A Note on Multivariate CUSUM Procedures (1987)Quality Control and Industrial Statistics. (1967)The SPRT chart for monitoring a proportion (1998)A Nonparametric EWMA Sign Chart for Location Based on Individual Measurements (2011)Distribution‐free Phase II CUSUM Control Chart for Joint Monitoring of Location and Scale (2014)A Comparison of Some Control Chart Procedures (1966)Quality, productivity, and competitive position (1982)The Design of CUSUM Quality Control Charts (1986)An Optimal Design of CUSUM Quality Control Charts (1991)Evaluating and Improving the Synthetic Control Chart (2002)Cumulative Sum Charts and Charting for Quality Improvement (1998)Robustness of the time between events CUSUM (2003)An Overview of Control Charts for High‐quality Processes (2016)Exponentially weighted moving average control schemes with variable sampling intervals (1992)A Survey of Recent Developments in the Design of Adaptive Control Charts (1998)The State of Statistical Process Control as We Proceed into the 21st Century (2000)
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References

  • 1999Research Issues and Ideas in Statistical Process Control631 cited
  • 1985Counted Data CUSUM's410 cited
  • 1991Detecting a Shift in Fraction Nonconforming Using Run-Length Control Charts with 100% Inspection274 cited
  • 1990CUSUM Charts With Variable Sampling Intervals273 cited
  • 1999A CUSUM Chart for Monitoring a Proportion When Inspecting Continuously190 cited
  • 1985The Statistical Design of Quality Control Charts164 cited
  • 2004Should Observations Be Grouped for Effective Process Monitoring?162 cited
  • 2005Dual CUSUM control schemes for detecting a range of mean shifts128 cited
  • 1993An optimal design of CUSUM control charts for binomial counts111 cited
  • 2001A Synthetic Control Chart for Detecting Fraction Nonconforming Increases94 cited
  • 1984On the Markov Chain Approach to the Two-Sided CUSUM Procedure94 cited
  • 2005Weighted-loss-function CUSUM chart for monitoring mean and variance of a production process86 cited
  • 2004A Moving Average Control Chart for Monitoring the Fraction Non‐conforming82 cited
  • 2000A general approach to modeling CUSUM charts for a proportion61 cited
  • 1978The Economic Design of p-Charts to Maintain Current Control of o Process: Some Numerical Results

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61 cited
  • 1992Evaluation of average run lengths of cumulative sum charts for an arbitrary data distribution58 cited
  • Cited by

    • 2013Development of a multiattribute synthetic-np chart26 cited
    • 2014Binomial CUSUM chart with curtailment25 cited
    • 2013Optimal average sample number of the SPRT chart for monitoring fraction nonconforming22 cited
    • 2013An optimisation design of the combined np-CUSUM scheme for attributes21 cited
    • 2019An improved design of exponentially weighted moving average scheme for monitoring attributes21 cited
    • 2015CUSUM Control Charts for the Monitoring of Zero-inflated Binomial Processes21 cited
    • 2015Run rules based phase IIcandnpcharts when process parameters are unknown16 cited
    • 2017Control charts for monitoring correlated counts with a finite range15 cited
    • 2020Monitoring of zero-inflated binomial processes with a DEWMA control chart12 cited
    • 2018Count data monitoring: Parametric or nonparametric?11 cited
    • 2023A nonparametric control chart for monitoring count data mean11 cited
    • 2024Shewhart-EWMA chart for monitoring binomial data subject to shifts of random amounts10 cited
    • 2020EWMA control charts for monitoring correlated counts with finite range9 cited
    • 2020Self‐information‐based weighted CUSUM charts for monitoring Poisson count data with varying sample sizes8 cited