Monitoring the Coefficient of Variation Using EWMA Charts

By Philippe Castagliola, Giovanni Celano, Stelios Psarakis. 2011

196 citations recorded by the source corpus.

Subfields: Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/35dfeb5d848c01468899856e6af9a0ef4691a650

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Food Science

In Statistics and Probability

Citations in the corpus

Monitoring the Coefficient of Variation Using Control Charts with Run Rules (2013, methodology): “[7] as long as the increasing shift in the CV is not too large.”
Monitoring the coefficient of variation using a variable sample size control chart (2015, methodology): “More recently, several new methods aiming at monitoring the coefficient of variation have been proposed by [4] who suggested to use two one-sided EWMA charts, [2] who suggested a synthetic version, [6] who proposed to use selected run rules, and [7] who investigated the efficiency of a variable samp”
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).”
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.”
Optimal design of the adaptive EWMA chart for the mean based on median run length and expected median run length (2019, methodology): “As it is difficult to estimate the actual shape of f (δ), Castagliola et al. (2011), Hu, Castagliola, Sun, andKhoo (2015), andTeoh et al. (2017) all assumed that the processmean shift follows a uniform distribution U(δmin, δmax).”
A synthetic control chart for the coefficient of variation (2013, methodology): “[3] used the following approximations for μ0 (W2) and σ0 (W2):”