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Some simplified Shewhart-type distribution-free joint monitoring schemes and its application in monitoring drinking water turbidity
16 references·4 citing·34 second hop
Some simplified Shewhart-type distribution-free joint monitoring schemes and its application in monitoring drinking water turbidity (2019)Some simplified Shewhart-type distributio…Some perspectives on nonparametric statistical process control (2018)Some perspectives on nonparam…Distribution‐free Phase II CUSUM Control Chart for Joint Monitoring of Location and Scale (2014)Distribution‐free Phase II CU…An Overview of Phase I Analysis for Process Improvement and Monitoring (2014)An Overview of Phase I Analys…Introduction to Statistical Process Control (2013)Introduction to Statistical P…Control Charts for Joint Monitoring of Mean and Variance: An Overview (2013)Control Charts for Joint Moni…A New Distribution‐free Control Chart for Joint Monitoring of Unknown Location and Scale Parameters of Continuous Distributions (2013)A New Distribution‐free Contr…On Nonparametric Statistical Process Control of Univariate Processes (2011)On Nonparametric Statistical …A Distribution‐free Control Chart for the Joint Monitoring of Location and Scale (2011)A Distribution‐free Control C…Likelihood Ratio-Based Distribution-Free EWMA Control Charts (2010)Likelihood Ratio-Based Distri…Distribution-free cumulative sum control charts using bootstrap-based control limits (2009)Distribution-free cumulative …Distribution-free multivariate process control based on log-linear modeling (2008)Distribution-free multivariat…Single Variables Control Charts: an Overview (2006)Single Variables Control Char…Comparisons of Some Exponentially Weighted Moving Average Control Charts for Monitoring the Process Mean and Variance (2006)Comparisons of Some Exponenti…Monitoring the Process Mean and Variance Using Individual Observations and Variable Sampling Intervals (2001)Monitoring the Process Mean a…A Rank-Based Multivariate CUSUM Procedure (2001)A Rank-Based Multivariate CUS…Joint Monitoring of Process Mean and Variance Using Exponentially Weighted Moving Average Control Charts (1995)Joint Monitoring of Process M…Two robust multivariate exponentially weighted moving average charts to facilitate distinctive product quality features assessment (2023)Two robust multivariate expon…Service failure monitoring via multivariate multiple linear regression profile schemes with dimensionality reduction (2023)Service failure monitoring vi…Exponentially weighted moving average Lepage-type schemes based on the lower-order percentile of the run-length metrics and their use in monitoring time-occupancy in Google applications (2023)Exponentially weighted moving…Distribution-free Phase II triple EWMA control chart for joint monitoring the process location and scale parameters (2023)Distribution-free Phase II tr…Economic control of quality of manufactured product (1932)Inference About the Change-Point in a Sequence of Random Variables (1970)Multivariate Control Charts for Individual Observations (1992)The Difficulty in Designing Shewhart X and X Control Charts with Estimated Parameters (2015)Nonparametric (distribution-free) control charts: An updated overview and some results (2019)How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? 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Optimality and Methods (2003)Control Charts and the Efficient Allocation of Sampling Resources (2004)Limit theorems in change-point analysis (1997)A Nonparametric Change-Point Control Chart (2010)Multivariate Generalizations of Cumulative Sum Quality-Control Schemes (1988)Introduction to Time Series and Forecasting (2002)SPCQCharts for Start-Up Processes and Short or Long Runs (1991)Monitoring Process Mean and Variability with One EWMA Chart (2001)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)A distribution-free phase-II CUSUM procedure for monitoring service quality (2016)Economic Control of Quality of Manufactured Product. (1932)Big Data? Statistical Process Control Can Help! 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References

  • 2013Introduction to Statistical Process Control453 cited
  • 2014An Overview of Phase I Analysis for Process Improvement and Monitoring234 cited
  • 2001A Rank-Based Multivariate CUSUM Procedure215 cited
  • 2008Distribution-free multivariate process control based on log-linear modeling184 cited
  • 2001Monitoring the Process Mean and Variance Using Individual Observations and Variable Sampling Intervals170 cited
  • 2018Some perspectives on nonparametric statistical process control168 cited
  • 1995Joint Monitoring of Process Mean and Variance Using Exponentially Weighted Moving Average Control Charts168 cited
  • 2010Likelihood Ratio-Based Distribution-Free EWMA Control Charts151 cited
  • 2011On Nonparametric Statistical Process Control of Univariate Processes141 cited
  • 2013Control Charts for Joint Monitoring of Mean and Variance: An Overview133 cited
  • 2009Distribution-free cumulative sum control charts using bootstrap-based control limits128 cited
  • 2011A Distribution‐free Control Chart for the Joint Monitoring of Location and Scale124 cited
  • 2013A New Distribution‐free Control Chart for Joint Monitoring of Unknown Location and Scale Parameters of Continuous Distributions113 cited
  • 2006Single Variables Control Charts: an Overview111 cited

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2014
Distribution‐free Phase II CUSUM Control Chart for Joint Monitoring of Location and Scale
96 cited
  • 2006Comparisons of Some Exponentially Weighted Moving Average Control Charts for Monitoring the Process Mean and Variance96 cited
  • Cited by

    • 2023Service failure monitoring via multivariate multiple linear regression profile schemes with dimensionality reduction16 cited
    • 2023Distribution-free Phase II triple EWMA control chart for joint monitoring the process location and scale parameters14 cited
    • 2023Two robust multivariate exponentially weighted moving average charts to facilitate distinctive product quality features assessment14 cited
    • 2023Exponentially weighted moving average Lepage-type schemes based on the lower-order percentile of the run-length metrics and their use in monitoring time-occupancy in Google applications12 cited