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CUSUM Charts for Monitoring the Characteristic Life of Censored Weibull Lifetimes
10 references·15 citing·39 second hop
CUSUM Charts for Monitoring the Characteristic Life of Censored Weibull Lifetimes (2014)CUSUM Charts for Monitoring the Character…Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)Effects of Parameter Estimati…The Inertial Properties of Quality Control Charts (2005)The Inertial Properties of Qu…EWMA Charts for Monitoring the Mean of Censored Weibull Lifetimes (2004)EWMA Charts for Monitoring th…Monitoring Processes with Highly Censored Data (2000)Monitoring Processes with Hig…Cumulative Sum Charts and Charting for Quality Improvement (1998)Cumulative Sum Charts and Cha…Introduction to Statistical Quality Control (1992)Introduction to Statistical Q…An EWMA for Monitoring a Process Standard Deviation (1992)An EWMA for Monitoring a Proc…Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Exponentially Weighted Moving…Introduction to Statistical Quality Control (1987)Introduction to Statistical Q…Optimal Stopping Times for Detecting Changes in Distributions (1986)Optimal Stopping Times for De…Online monitoring of the Weibull distributed process based on progressive Type II censoring scheme (2023)Online monitoring of the Weib…Monitoring negative sentiment scores and time between customer complaints via one-sided distribution-free EWMA schemes (2023)Monitoring negative sentiment…One-sided Adaptive Truncated Exponentially Weighted Moving Average X¯ Schemes for Detecting Process Mean Shifts (2022)One-sided Adaptive Truncated …Deciles‐based EWMA‐type sign charts for process dispersion (2022)Deciles‐based EWMA‐type sign …Economic design of a CEV x control chart for determining optimal right-censored times (2021)Economic design of a CEV x co…Conditional mean‐ and median‐based cumulative sum control charts for Weibull data (2020)Conditional mean‐ and median‐…A multivariate CUSUM control chart for monitoring Gumbel's bivariate exponential data (2020)A multivariate CUSUM control …Weighted EWMA charts for monitoring type I censored Weibull lifetimes (2018)Weighted EWMA charts for moni…Phase II synthetic exponential charts and effect of parameter estimation (2017)Phase II synthetic exponentia…New control charts for monitoring the Weibull percentiles under complete data and Type‐II censoring (2017)New control charts for monito…Multivariate Ordinal Categorical Process Control Based on Log-Linear Modeling (2017)Multivariate Ordinal Categori…A Time Truncated Moving Average Chart for the Weibull Distribution (2017)A Time Truncated Moving Avera…Monitoring censored lifetime data with a weighted-likelihood scheme (2016)Monitoring censored lifetime …Recent Advances and Future Directions for Quality Engineering (2015)Recent Advances and Future Di…Monitoring the Shape Parameter of a Weibull Regression Model in Phase II Processes (2014)Monitoring the Shape Paramete…Statistical Methods for Quality Improvement (1990)The Effect of Sample Size on Estimated Limits forXandXControl Charts (1993)Statistical Methods for Quality Improvement (2000)Monitoring Processes with Data Censored Owing to Competing Risks by Using Exponentially Weighted Moving Average Control Charts (2001)Minimizing the cost of integrated systems approach to process control and maintenance model by EWMA control chart using genetic algorithm (2010)Monitoring the Weibull Shape Parameter by Control Charts for the Sample Range of Type II Censored Data (2011)A review of multivariate control charts (1995)Introduction to Statistical Quality Control (2005)Current research on profile monitoring (2007)An Overview of Phase I Analysis for Process Improvement and Monitoring (2014)Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014)Optimal Properties of Exponentially Weighted Forecasts (1960)Research Issues and Ideas in Statistical Process Control (1999)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)A CUSUM-based method for monitoring simple linear profiles (2009)An Evaluation of a GLR Control Chart for Monitoring the Process Mean (2010)An overview and perspective on social network monitoring (2016)Statistics for Experimenters (1979)Exact Results for Shewhart Control Charts With Supplementary Runs Rules (1987)The Exponentially Weighted Moving Variance (1993)Control Charts for Monitoring the Mean and Variance of Autocorrelated Processes (1999)Monitoring Process Mean and Variability with One EWMA Chart (2001)CONTINUOUS INSPECTION SCHEMES (1954)Procedures for Reacting to a Change in Distribution (1971)Detecting changes in signals and systems—A survey (1988)Sequential Changepoint Detection in Quality Control and Dynamical Systems (1995)The Use of Control Charts in Health-Care and Public-Health Surveillance (2006)Quality Control and Industrial Statistics. (1967)Statistical Quality Control (1990)The Difficulty in Designing Shewhart X and X Control Charts with Estimated Parameters (2015)Design and Analysis of Experiments (2019)Introduction to Statistical Quality Control (2001)The Performance of Exponentially Weighted Moving Average Charts With Estimated Parameters (2001)A study of EWMA chart with transformed exponential data (2006)On t and EWMA t charts for monitoring changes in the process mean (2009)Monitoring Process Mean and Variability with One Double EWMA Chart (2010)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)
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References

  • 1992Introduction to Statistical Quality Control7,842 cited
  • 1990Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements1,939 cited
  • 1986Optimal Stopping Times for Detecting Changes in Distributions1,022 cited
  • 1998Cumulative Sum Charts and Charting for Quality Improvement842 cited
  • 2006Effects of Parameter Estimation on Control Chart Properties: A Literature Review582 cited
  • 1987Introduction to Statistical Quality Control472 cited
  • 1992An EWMA for Monitoring a Process Standard Deviation328 cited
  • 2005The Inertial Properties of Quality Control Charts143 cited
  • 2004EWMA Charts for Monitoring the Mean of Censored Weibull Lifetimes113 cited
  • 2000Monitoring Processes with Highly Censored Data78 cited

Cited by

  • 2018Weighted EWMA charts for monitoring type I censored Weibull lifetimes42 cited
  • 2015Recent Advances and Future Directions for Quality Engineering40 cited
  • 2017New control charts for monitoring the Weibull percentiles under complete data and Type‐II censoring31 cited
  • 2020A multivariate CUSUM control chart for monitoring Gumbel's bivariate exponential data28 cited
  • 2016Monitoring censored lifetime data with a weighted-likelihood scheme

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26 cited
  • 2023Monitoring negative sentiment scores and time between customer complaints via one-sided distribution-free EWMA schemes14 cited
  • 2017A Time Truncated Moving Average Chart for the Weibull Distribution14 cited
  • 2017Multivariate Ordinal Categorical Process Control Based on Log-Linear Modeling14 cited
  • 2014Monitoring the Shape Parameter of a Weibull Regression Model in Phase II Processes13 cited
  • 2022Deciles‐based EWMA‐type sign charts for process dispersion12 cited
  • 2020Conditional mean‐ and median‐based cumulative sum control charts for Weibull data12 cited
  • 2021Economic design of a CEV x control chart for determining optimal right-censored times12 cited
  • 2023Online monitoring of the Weibull distributed process based on progressive Type II censoring scheme11 cited
  • 2022One-sided Adaptive Truncated Exponentially Weighted Moving Average X¯ Schemes for Detecting Process Mean Shifts11 cited
  • 2017Phase II synthetic exponential charts and effect of parameter estimation11 cited