A synthetic control chart for the coefficient of variation
By Maria E. Calzada, Stephen M. Scariano. 2013
133 citations recorded by the source corpus.
Subfields: Medical Laboratory Technology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/8a608e69cbc3be8ad03c2b264ad445c852c35a5c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Medical Laboratory Technology
- Michael Boon Chong Khoo
- Kim Phuc Tran
- Ali Achouri
- Philippe Castagliola
- Giovanni Celano
- Hassen Taleb
- Stelios Psarakis
In Statistics and Probability
- Philippe Castagliola
- Giovanni Celano
- Hassen Taleb
- Michael Boon Chong Khoo
- Ali Achouri
- Asma Amdouni
- M. Abdur Rahim
- L. K. Tham
Citations in the corpus
- Monitoring the coefficient of variation using a variable sample size control chart in short production runs (2015, background): “Calzada and Scariano [4] suggested a synthetic control chart (denoted SynCV) for monitoring the CV, and Castagliola et al. [5–7] proposed alternative approaches to monitor the CV based on Run Rules, Variable Sampling Interval (VSI), and Variable Sample Size (VSS) strategies, respectively.”
- Monitoring the Coefficient of Variation Using Control Charts with Run Rules (2013, methodology): “In the case of an increasing shift, based on Tables 5 and 6 in Calzada and Scariano [5], the SynCV chart also outperforms the RR charts for any shift 1 .”
- Monitoring the coefficient of variation using a variable sample size control chart (2015, methodology): “– Finally, a comparison with [2] shows the outperformance of the variable sample size γ chart over its synthetic counterpart in terms of the out-of-control ARL and SDRL for values of the shift τ ≤ 2 and initial sample size n(1) = nL.”
- Monitoring the Coefficient of Variation Using a Variable Sampling Interval EWMA Chart (2017, methodology): “Readers are suggested to refer to Kang et al. (2007), Calzada and Scariano (2013), Castagliola et al. (2011), and Castagliola et al. (2013b) for the designs of the SH-γ, Syn-γ, EWMA-γ2, and VSI-γ charts, respectively.”
- One-Sided Shewhart-type Charts for Monitoring the Coefficient of Variation in Short Production Runs (2015, background): “Calzada, M. and Scariano, S. (2013).”
- Monitoring the ratio of two normal variables using Run Rules type control charts (2016, background): “It is important to note that monitoring the ratio of two normal random variables X and Y is different from monitoring the sample coefficient of variation as considered, for instance, by Kang et al. (2007), Castagliola, Celano, and Psarakis (2011), Calzada and Scariano (2013) and Zhang et al. (2014).”