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EWMA Charts for the Weibull Shape Parameter
12 references·16 citing·35 second hop
EWMA Charts for the Weibull Shape Parameter (2010)EWMA Charts for the Weibull Shape Paramet…Journal of Statistical Computation and Simulation (2009)Journal of Statistical Comput…A Bootstrap Control Chart for Weibull Percentiles (2005)A Bootstrap Control Chart for…EWMA Charts for Monitoring the Mean of Censored Weibull Lifetimes (2004)EWMA Charts for Monitoring th…Statistical Methods for Quality Improvement (2000)Statistical Methods for Quali…Statistical Process Control (1991)Statistical Process ControlShewhart-Type Charts for Percentiles of Strength Distributions (1990)Shewhart-Type Charts for Perc…An Introduction to Statistical Quality Control. (1987)An Introduction to Statistica…A Simple Method for Studying Run – Length Distributions of Exponentially Weighted Moving Average Charts (1987)A Simple Method for Studying …Optimal Stopping Times for Detecting Changes in Distributions (1986)Optimal Stopping Times for De…Control Charts for Weibull Processes With Standards Given (1979)Control Charts for Weibull Pr…Control Chart Tests Based on Geometric Moving Averages (1959)Control Chart Tests Based on …CONTINUOUS INSPECTION SCHEMES (1954)CONTINUOUS INSPECTION SCHEMESOn designing a new VEWMA control chart for efficient process monitoring (2021)On designing a new VEWMA cont…Monitoring the Weibull shape parameter under progressive censoring in presence of independent competing risks (2021)Monitoring the Weibull shape …Max‐EWMA chart for time and magnitude monitoring using exponentially modified Gaussian distribution (2021)Max‐EWMA chart for time and m…EWMA and adaptive EWMA variable sampling intervals charts for simultaneous monitoring of Weibull parameters (2021)EWMA and adaptive EWMA variab…On control chart for monitoring exponentially distributed quality characteristic (2019)On control chart for monitori…A progressive mean control chart for monitoring time between events (2019)A progressive mean control ch…Weighted EWMA charts for monitoring type I censored Weibull lifetimes (2018)Weighted EWMA charts for moni…The performance of semi-empirical Bayesian control charts for monitoring Weibull data (2017)The performance of semi-empir…The Design of the S2 Control Charts Based on Conditional Performance via Exact Methods (2017)The Design of the S2 Control …Simultaneously monitoring frequency and magnitude of events based on bivariate gamma distribution (2017)Simultaneously monitoring fre…On ARL-unbiased c-charts for INAR(1) Poisson counts (2016)On ARL-unbiased c-charts for …MaxEWMA Control Chart for a Weibull Process with Individual Measurements (2016)MaxEWMA Control Chart for a W…An ARL‐unbiased c‐chart (2016)An ARL‐unbiased c‐chartAn ARL-Unbiased n p-Chart (2016)An ARL-Unbiased n p-ChartMoving range EWMA control charts for monitoring the Weibull shape parameter (2014)Moving range EWMA control cha…A Semi‐empirical Bayesian Chart to Monitor Weibull Percentiles (2014)A Semi‐empirical Bayesian Cha…Design of Exponentially Weighted Moving Average Schemes (1989)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)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)Statistics for Experimenters (1979)A review of multivariate control charts (1995)Research Issues and Ideas in Statistical Process Control (1999)Kollár Ádám Ferenc levelezése (2000)An EWMA for Monitoring a Process Standard Deviation (1992)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)changepoint : An R Package for Changepoint Analysis (2014)Selective review of offline change point detection methods (2019)A bootstrap control chart for Birnbaum–Saunders percentiles (2008)Control Charts For Monitoring The Weibull Shape Parameter Based On Type‐II Censored Sample (2012)Attribute Control Charts for the Weibull Distribution under Truncated Life Tests (2015)Effect of Measurement Error on Shewhart Control Charts (2001)Statistical Surveillance. Optimality and Methods (2003)qcc: an R package for quality control charting and statistical process control (2004)The Exponentially Weighted Moving Average (1986)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)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)Smooth Transition Quantile Capital Asset Pricing Models with Heteroscedasticity (2011)Control-variate estimation using estimated control means (2012)A new attribute control chart using multiple dependent state sampling (2014)Quality Control and Industrial Statistics (1988)Enhancing the performance of EWMA charts (2010)Another Look at the EWMA Control Chart with Estimated Parameters (2015)
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References

  • 1954CONTINUOUS INSPECTION SCHEMES5,731 cited
  • 1959Control Chart Tests Based on Geometric Moving Averages1,544 cited
  • 1986Optimal Stopping Times for Detecting Changes in Distributions1,022 cited
  • 1987An Introduction to Statistical Quality Control.932 cited
  • 2000Statistical Methods for Quality Improvement750 cited
  • 2005A Bootstrap Control Chart for Weibull Percentiles514 cited
  • 1987A Simple Method for Studying Run – Length Distributions of Exponentially Weighted Moving Average Charts476 cited
  • 1991Statistical Process Control184 cited
  • 2004EWMA Charts for Monitoring the Mean of Censored Weibull Lifetimes113 cited
  • 2009Journal of Statistical Computation and Simulation99 cited
  • 1990Shewhart-Type Charts for Percentiles of Strength Distributions72 cited
  • 1979Control Charts for Weibull Processes With Standards Given66 cited

Cited by

  • 2018Weighted EWMA charts for monitoring type I censored Weibull lifetimes42 cited
  • 2014Moving range EWMA control charts for monitoring the Weibull shape parameter35 cited
  • 2017Simultaneously monitoring frequency and magnitude of events based on bivariate gamma distribution

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29 cited
  • 2016An ARL‐unbiased c‐chart23 cited
  • 2019A progressive mean control chart for monitoring time between events21 cited
  • 2017The performance of semi-empirical Bayesian control charts for monitoring Weibull data19 cited
  • 2021Monitoring the Weibull shape parameter under progressive censoring in presence of independent competing risks19 cited
  • 2021On designing a new VEWMA control chart for efficient process monitoring17 cited
  • 2017The Design of the S2 Control Charts Based on Conditional Performance via Exact Methods17 cited
  • 2016An ARL-Unbiased n p-Chart16 cited
  • 2019On control chart for monitoring exponentially distributed quality characteristic15 cited
  • 2014A Semi‐empirical Bayesian Chart to Monitor Weibull Percentiles15 cited
  • 2021Max‐EWMA chart for time and magnitude monitoring using exponentially modified Gaussian distribution15 cited
  • 2016On ARL-unbiased c-charts for INAR(1) Poisson counts15 cited
  • 2021EWMA and adaptive EWMA variable sampling intervals charts for simultaneous monitoring of Weibull parameters14 cited
  • 2016MaxEWMA Control Chart for a Weibull Process with Individual Measurements14 cited