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Optimal design of the synthetic control chart for monitoring the multivariate coefficient of variation
16 references·9 citing·31 second hop
Optimal design of the synthetic control chart for monitoring the multivariate coefficient of variation (2019)Optimal design of the synthetic control c…Run-sum control charts for monitoring the coefficient of variation (2016)Run-sum control charts for mo…One-Sided Shewhart-type Charts for Monitoring the Coefficient of Variation in Short Production Runs (2015)One-Sided Shewhart-type Chart…Monitoring the coefficient of variation using a variable sample size control chart in short production runs (2015)Monitoring the coefficient of…A Control Chart for the Multivariate Coefficient of Variation (2015)A Control Chart for the Multi…The Coefficient of Variation as an Index of Measurement Reliability (2013)The Coefficient of Variation …Monitoring the Coefficient of Variation Using Control Charts with Run Rules (2013)Monitoring the Coefficient of…Monitoring the Coefficient of Variation Using EWMA Charts (2011)Monitoring the Coefficient of…A synthetic control chart for the coefficient of variation (2011)A synthetic control chart for…Development of CV Control Chart Using EWMA Technique (2008)Development of CV Control Cha…A Control Chart for the Coefficient of Variation (2007)A Control Chart for the Coeff…Application of coefficient of variation in reliability-based mechanical design and manufacture (2001)Application of coefficient of…A Synthetic Control Chart for Detecting Small Shifts in the Process Mean (2000)A Synthetic Control Chart for…The Sharpe Ratio (1994)The Sharpe RatioIntroduction to Statistical Quality Control (1992)Introduction to Statistical Q…Introduction to Statistical Quality Control (1988)Introduction to Statistical Q…Probabilistic engineering design; principles and applications (1983)Probabilistic engineering des…Efficient CUSUM control charts for monitoring the multivariate coefficient of variation (2023)Efficient CUSUM control chart…One-sided variable sampling interval EWMA control charts for monitoring the multivariate coefficient of variation in the presence of measurement errors (2021)One-sided variable sampling i…IQR CUSUM charts: An efficient approach for monitoring variations in aquatic toxicity (2021)IQR CUSUM charts: An efficien…The new synthetic and runs-rules schemes to monitor the process mean of autocorrelated observations with measurement errors (2020)The new synthetic and runs-ru…A meta-evaluation model on science and technology project review experts using IVIF-BWM and MULTIMOORA (2020)A meta-evaluation model on sc…The efficiency of run rules schemes for the multivariate coefficient of variation: a Markov chain approach (2019)The efficiency of run rules s…The efficiency of run rules schemes for the multivariate coefficient of variation in short runs process (2019)The efficiency of run rules s…Improved linear profiling methods under classical and Bayesian setups: An application to chemical gas sensors (2019)Improved linear profiling met…A proposed variable parameter control chart for monitoring the multivariate coefficient of variation (2019)A proposed variable parameter…An Approach to the Probability Distribution of Cusum Run Length (1972)Introduction to Matrix Analytic Methods in Stochastic Modeling (1999)Monitoring the Coefficient of Variation Using a Variable Sampling Interval Control Chart (2012)Control Chart Tests Based on Geometric Moving Averages (1959)The Shewhart Control Chart—Tests for Special Causes (1984)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)The Inertial Properties of Quality Control Charts (2005)Statistical Process Control using Shewhart Control Charts with Supplementary Runs Rules (2007)Nonparametric (distribution-free) control charts: An updated overview and some results (2019)Economic control of quality of manufactured product (1932)Economic Control of Quality of Manufactured Product. (1932)A new exponentially weighted moving average control chart for monitoring the coefficient of variation (2014)Modern Portfolio Theory and Investment Analysis. (1982)The Statistics of Sharpe Ratios (2002)An econometric model of serial correlation and illiquidity in hedge fund returns (2004)Deep Direct Reinforcement Learning for Financial Signal Representation and Trading (2016)Health Measurement Scales: A Practical Guide to Their Development and Use (1989)Statistical Methods For Assessing Measurement Error (Reliability) in Variables Relevant to Sports Medicine (1998)Measures of Reliability in Sports Medicine and Science (2000)New adaptive control charts for monitoring the multivariate coefficient of variation (2018)Discussion on the validity of commonly used reliability indices in sports medicine and exercise science: a critical review with data simulations (2025)Monitoring the coefficient of variation using a variable sample size and sampling interval control chart (2016)Remanufacturing in industry: advices from the field (2016)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)Extensions to the Taguchi Method of Product Design (1993)A new approach for measuring uncertainty importance and distributional sensitivity in probabilistic safety assessment (1994)Propagating and Mitigating Uncertainty in the Design of Complex Multidisciplinary Systems (2005)Introduction to Statistical Quality Control (1997)An optimization model for green supply chain management by using a big data analytic approach (2016)
this work references cited by second hop

References

  • 1992Introduction to Statistical Quality Control7,842 cited
  • 1994The Sharpe Ratio2,542 cited
  • 1988Introduction to Statistical Quality Control532 cited
  • 2000A Synthetic Control Chart for Detecting Small Shifts in the Process Mean231 cited
  • 2013The Coefficient of Variation as an Index of Measurement Reliability221 cited
  • 2011Monitoring the Coefficient of Variation Using EWMA Charts204 cited
  • 2007A Control Chart for the Coefficient of Variation174 cited
  • 2011A synthetic control chart for the coefficient of variation133 cited
  • 1983Probabilistic engineering design; principles and applications109 cited
  • 2015Monitoring the coefficient of variation using a variable sample size control chart in short production runs106 cited
  • 2016Run-sum control charts for monitoring the coefficient of variation95 cited
  • 2013Monitoring the Coefficient of Variation Using Control Charts with Run Rules94 cited
  • 2008Development of CV Control Chart Using EWMA Technique71 cited
  • 2015A Control Chart for the Multivariate Coefficient of Variation70 cited
  • 2015One-Sided Shewhart-type Charts for Monitoring the Coefficient of Variation in Short Production Runs61 cited

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  • 2001Application of coefficient of variation in reliability-based mechanical design and manufacture57 cited
  • Cited by

    • 2020A meta-evaluation model on science and technology project review experts using IVIF-BWM and MULTIMOORA43 cited
    • 2019Improved linear profiling methods under classical and Bayesian setups: An application to chemical gas sensors35 cited
    • 2019A proposed variable parameter control chart for monitoring the multivariate coefficient of variation30 cited
    • 2023Efficient CUSUM control charts for monitoring the multivariate coefficient of variation22 cited
    • 2019The efficiency of run rules schemes for the multivariate coefficient of variation: a Markov chain approach22 cited
    • 2021One-sided variable sampling interval EWMA control charts for monitoring the multivariate coefficient of variation in the presence of measurement errors19 cited
    • 2019The efficiency of run rules schemes for the multivariate coefficient of variation in short runs process16 cited
    • 2021IQR CUSUM charts: An efficient approach for monitoring variations in aquatic toxicity13 cited
    • 2020The new synthetic and runs-rules schemes to monitor the process mean of autocorrelated observations with measurement errors12 cited