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Monitoring process variability using decile mean standard deviation
16 references·1 citing·41 second hop
Monitoring process variability using decile mean standard deviation (2021)Monitoring process variability using deci…A robust alternate to the HEWMA control chart under non-normality (2019)A robust alternate to the HEW…A moving average control chart using a robust scale estimator for process dispersion (2019)A moving average control char…Asymmetric control limits for range chart with simple robust estimator under the non-normal distributed process (2018)Asymmetric control limits for…Robust multivariate control charts based on Birnbaum–Saunders distributions (2017)Robust multivariate control c…EWMA-type scheme for monitoring location parameter using auxiliary information (2017)EWMA-type scheme for monitori…Bootstrap Confidence Intervals of the Modified Process Capability Index for Weibull distribution (2017)Bootstrap Confidence Interval…Exact solution of the average run length for the cumulative sum chart for a moving average process of order q (2015)Exact solution of the average…A Robust Phase I Exponentially Weighted Moving Average Chart for Dispersion (2014)A Robust Phase I Exponentiall…A Robust Standard Deviation Control Chart (2012)A Robust Standard Deviation C…On Proper Choice of Variability Control Chart for Normal and Non‐normal Processes (2011)On Proper Choice of Variabili…Design and Analysis of Control Charts for Standard Deviation with Estimated Parameters (2011)Design and Analysis of Contro…A Simple Robust Control Chart Based on MAD (2008)A Simple Robust Control Chart…A mean deviation-based approach to monitor process variability (2008)A mean deviation-based approa…Control charts based on linear combinations of order statistics (2001)Control charts based on linea…Introduction to Statistical Quality Control (1988)Introduction to Statistical Q…Economic Control of Quality of Manufactured Product. (1932)Economic Control of Quality o…Development and application of a modified EWMA control chart for early detection of process shifts in skewed distributions (2025)Development and application o…The Effect of Sample Size on Estimated Limits forXandXControl Charts (1993)Research Issues and Ideas in Statistical Process Control (1999)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)On efficient use of auxiliary information for control charting in SPC (2013)Robust CUSUM Control Charting (2013)Effect of the Amount of Phase I Data on the Phase II Performance ofS2andSControl Charts (2015)Statistical Methods for Quality Improvement (2000)The Use of Control Charts in Health-Care and Public-Health Surveillance (2006)On the Performance of Auxiliary‐based Control Charting under Normality and Nonnormality with Estimation Effects (2012)Designing of a hybrid exponentially weighted moving average control chart using repetitive sampling (2014)Quality Control and Industrial Statistics. 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References

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  • 1988Introduction to Statistical Quality Control532 cited
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  • 2011Design and Analysis of Control Charts for Standard Deviation with Estimated Parameters77 cited
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  • 2017Bootstrap Confidence Intervals of the Modified Process Capability Index for Weibull distribution57 cited
  • 2017EWMA-type scheme for monitoring location parameter using auxiliary information44 cited
  • 2008A mean deviation-based approach to monitor process variability35 cited
  • 2019A robust alternate to the HEWMA control chart under non-normality25 cited
  • 2014A Robust Phase I Exponentially Weighted Moving Average Chart for Dispersion23 cited
  • 2015Exact solution of the average run length for the cumulative sum chart for a moving average process of order q19 cited
  • 2001Control charts based on linear combinations of order statistics17 cited
  • 2018Asymmetric control limits for range chart with simple robust estimator under the non-normal distributed process

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14 cited
  • 2019A moving average control chart using a robust scale estimator for process dispersion13 cited
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    • 2025Development and application of a modified EWMA control chart for early detection of process shifts in skewed distributions5 cited