The Efficiency of the VSI Exponentially Weighted Moving Average Median Control Chart
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Philippe Castagliola | Anne Cuzol | Kim Phuc Tran | A. Cuzol | P. Castagliola | K. Tran | T. Nguyen | Thi-Hien Nguyen
[1] Douglas C. Montgomery,et al. Statistical quality control : a modern introduction , 2009 .
[2] Kim Phuc Tran,et al. Run Rules median control charts for monitoring process mean in manufacturing , 2017, Qual. Reliab. Eng. Int..
[3] Philippe Castagliola,et al. The median chart with estimated parameters , 2013 .
[4] P. Castagliola,et al. A variable sampling interval S2-EWMA control chart for monitoring the process variance , 2007, Int. J. Technol. Manag..
[5] Giovanni Celano,et al. Monitoring the Ratio of Two Normal Variables Using EWMA Type Control Charts , 2016, Qual. Reliab. Eng. Int..
[6] Shey-Huei Sheu,et al. The Generally Weighted Moving Average Control Chart for Monitoring the Process Median , 2006 .
[7] Marion R. Reynolds. Shewhart and EWMA Variable Sampling Interval Control Charts with Sampling at Fixed Times , 1996 .
[8] L. Lee Ho,et al. Monitoring the process mean based on attribute inspection when a small sample is available , 2015 .
[9] Philippe Castagliola,et al. The EWMA median chart with estimated parameters , 2016 .
[10] William H. Woodall,et al. CUSUM charts with variable sampling intervals , 1990 .
[11] Kim Phuc Tran,et al. The efficiency of CUSUM schemes for monitoring the coefficient of variation , 2016 .
[12] James M. Lucas,et al. Exponentially weighted moving average control schemes: Properties and enhancements , 1990 .
[13] Kim Phuc Tran,et al. Designing of Run Rules t control charts for monitoring changes in the process mean , 2018 .
[14] Philippe Castagliola. An (X/R)-EWMA Control Chart for Monitoring the Process Sample Median , 2001 .
[15] J. Stuart Hunter,et al. The exponentially weighted moving average , 1986 .
[16] Giovanni Celano,et al. Monitoring compositional data using multivariate exponentially weighted moving average scheme , 2018, Qual. Reliab. Eng. Int..
[17] Kim Phuc Tran,et al. The Efficiency of the 4-Out-of-5 Runs Rules Scheme for Monitoring the Ratio of Population Means of a Bivariate Normal Distribution , 2016 .
[18] D. A. Evans,et al. An approach to the probability distribution of cusum run length , 1972 .
[19] Yu Chang Lin,et al. Robustness of the EWMA median control chart to non-normality , 2017 .
[20] S. Crowder. A simple method for studying run-length distribution of exponentially weighted moving average charts , 1987 .
[21] Giovanni Celano,et al. Monitoring the ratio of population means of a bivariate normal distribution using CUSUM type control charts , 2016, Statistical Papers.
[22] P. Robinson,et al. Average Run Lengths of Geometric Moving Average Charts by Numerical Methods , 1978 .
[23] Ching-Chun Huang. Max control chart with adaptive sample sizes for jointly monitoring process mean and standard deviation , 2014, J. Oper. Res. Soc..