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Time to signal distribution of multivariate bayesian control chart with dual sampling scheme
16 references·0 citing·55 second hopsampled
Time to signal distribution of multivariate bayesian control chart with dual sampling scheme (2021)Time to signal distribution of multivaria…Robust parameter design based on Gaussian process with model uncertainty (2020)Robust parameter design based…Multivariate time-between-events monitoring: An overview and some overlooked underlying complexities (2020)Multivariate time-between-eve…A new adaptive control chart for the simultaneous monitoring of the mean and variability of multivariate normal processes (2020)A new adaptive control chart …Optimal design of an attribute control chart for monitoring the mean of autocorrelated processes (2019)Optimal design of an attribut…Nonparametric (distribution-free) control charts: An updated overview and some results (2019)Nonparametric (distribution-f…New adaptive control charts for monitoring the multivariate coefficient of variation (2018)New adaptive control charts f…A variable sample size and sampling interval control chart for monitoring the process mean using auxiliary information (2018)A variable sample size and sa…A distribution‐free control chart for monitoring high‐dimensional processes based on interpoint distances (2018)A distribution‐free control c…Time‐between‐events control charts for an exponentiated class of distributions of the renewal process (2017)Time‐between‐events control c…Pairwise Estimation of Multivariate Gaussian Process Models With Replicated Observations: Application to Multivariate Profile Monitoring (2017)Pairwise Estimation of Multiv…Economic design of multivariate Bayesian control chart with two sampling intervals (2016)Economic design of multivaria…Design of exponential control charts based on average time to signal using a sequential sampling scheme (2014)Design of exponential control…The computation of average run length and average time to signal: an overview (2013)The computation of average ru…Optimal designs of the multivariate synthetic chart for monitoring the process mean vector based on median run length (2011)Optimal designs of the multiv…Multivariate Bayesian Control Chart (2008)Multivariate Bayesian Control…Dynamic Response of Residuals to External Deviations in a Controlled Production Process (2000)Dynamic Response of Residuals…CONTINUOUS INSPECTION SCHEMES (1954)Control Chart Tests Based on Geometric Moving Averages (1959)Introduction to Statistical Quality Control (1992)Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014)The efficiency of CUSUM schemes for monitoring the coefficient of variation (2016)An integrated production and maintenance planning model under VP-T2 Hotelling chart (2018)Counted Data CUSUM's (1985)$\overline{X}$ Charts with Variable Sampling Intervals (1988)Research Issues and Ideas in Statistical Process Control (1999)Design of Gamma Charts Based on Average Time to Signal (2015)An Overview of Control Charts for High‐quality Processes (2016)Exponential cumulative sums chart for detecting shifts in time-between-events (2017)Control Charts and Stochastic Processes (1959)An Approach to the Probability Distribution of Cusum Run Length (1972)Fast Initial Response for CUSUM Quality-Control Schemes: Give Your CUSUM A Head Start (1982)Synthetic-Type Control Charts for Time-Between-Events Monitoring (2013)Optimal Designs of the Variable Sample Size Chart Based on Median Run Length and Expected Median Run Length (2016)Double exponentially weighted moving average control chart with supplementary runs-rules (2019)Multivariate Quality Control-illustrated by the air testing of sample bombsights (1947)Bayes and Minimax Solutions of Sequential Decision Problems (1949)Optimal Inventory Policy (1951)An integrated quality and maintenance model for two-unit series systems (2019)Behavioral data-driven analysis with Bayesian method for risk management of financial services (2020)Opportunistic maintenance integrated model for a two-stage manufacturing process (2022)Probabilistic Forecasts, Calibration and Sharpness (2007)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)A combination of max‐type and distance based schemes for simultaneous monitoring of time between events and event magnitudes (2018)Monitoring of time between events with a double generally weighted moving average control chart (2018)On the performance of the adaptive EWMA chart for monitoring time between events (2020)A Combined Adaptive Sample Size and Sampling IntervalXControl Scheme (1994)X Chart with Variable Sample Size and Sampling Intervals (1997)CUSUM Charts for Signalling Varying Location Shifts (2000)Memory‐type multivariate control charts with auxiliary information for process mean (2018)A proposed variable parameter control chart for monitoring the multivariate coefficient of variation (2019)A review and critique of auxiliary information-based process monitoring methods (2022)The Sharpe Ratio (1994)XCharts with Variable Sample Size (1994)Variable sampling interval Shewhart control charts for monitoring the multivariate coefficient of variation (2019)Monitoring the coefficient of variation: A literature review (2021)Annals of operations research (1989)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Big Data? Statistical Process Control Can Help! (2019)A non‐parametric double homogeneously weighted moving average control chart under sign statistic (2020)Distribution-free double exponentially and homogeneously weighted moving average Lepage schemes with an application in monitoring exit rate (2021)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)Kollár Ádám Ferenc levelezése (2000)Dependence Modeling with Copulas (2014)Enhancing the detection power of multivariate time between events control charts for Gumbel’s bivariate exponential distribution (2022)Improved Nonparametric Control Chart Based on Ranked Set Sampling with Application of Chemical Data Modelling (2022)A nonparametric adaptive EWMA control chart for monitoring multivariate time-between-events-and-amplitude data (2024)Multivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)Markov Models & Optimization (1993)Data-Efficient Quickest Change Detection with On–Off Observation Control (2012)On efficient median control charting (2013)Quickest Change Detection (2014)
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References

  • 2019Nonparametric (distribution-free) control charts: An updated overview and some results194 cited
  • 2008Multivariate Bayesian Control Chart106 cited
  • 2013The computation of average run length and average time to signal: an overview95 cited
  • 2011Optimal designs of the multivariate synthetic chart for monitoring the process mean vector based on median run length56 cited
  • 2014Design of exponential control charts based on average time to signal using a sequential sampling scheme51 cited
  • 2018New adaptive control charts for monitoring the multivariate coefficient of variation42 cited
  • 2020Multivariate time-between-events monitoring: An overview and some overlooked underlying complexities41 cited
  • 2016Economic design of multivariate Bayesian control chart with two sampling intervals37 cited
  • 2017Time‐between‐events control charts for an exponentiated class of distributions of the renewal process37 cited
  • 2018A variable sample size and sampling interval control chart for monitoring the process mean using auxiliary information33 cited
  • 2020A new adaptive control chart for the simultaneous monitoring of the mean and variability of multivariate normal processes31 cited
  • 2020Robust parameter design based on Gaussian process with model uncertainty29 cited
  • 2018A distribution‐free control chart for monitoring high‐dimensional processes based on interpoint distances27 cited

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  • 2017Pairwise Estimation of Multivariate Gaussian Process Models With Replicated Observations: Application to Multivariate Profile Monitoring27 cited
  • 2000Dynamic Response of Residuals to External Deviations in a Controlled Production Process23 cited
  • 2019Optimal design of an attribute control chart for monitoring the mean of autocorrelated processes19 cited
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