In this paper, we present an overview of control charts based on the coefficient of variation and present a perceptual categorization outline for papers in ...
Sep 7, 2021 · In this paper, a rigorous content analysis method (based on 71 related studies in this area from 2007 to 2021) is applied to categorize the ...
The coefficient of variation is mainly useful in situations where comparisons are made between the variability of traits in two populations and when the ...
•An overview on monitoring the coefficient of variation papers.•Providing a comprehensive classification of articles in this area.
People also ask
How do you interpret the coefficient of variation in research?
How do you report a coefficient of variation?
What is coefficient of variation in quantitative research?
Can CV be greater than 100?
In this paper, a rigorous content analysis method (based on 71 related studies in this area from 2007 to 2021) is applied to categorize the articles that use ...
Jun 1, 2022 · This paper fills the gap by developing multivariate Shewhart-type control charts to monitor MCV with different autocorrelation structures for the observations.
Jun 1, 2022 · In this research, Shewhart-type control charts for monitoring the multivariate coefficient of variation for autocorrelated data are developed.
Oct 22, 2024 · Monitoring the coefficient of variation (CV) is a successful approach to Statistical Process Control when the process mean and standard ...
We investigate, in this paper, the effect of the measurement error (ME) on the performance of Run Rules control charts monitoring the coefficient of variation ( ...
Mar 12, 2024 · Monitoring the coefficient of variation: A literature review. Computers & Industrial Engineering, 161:107600, 2021. Ferretti et al. [2001]