Cargando…
Adaptive EWMA control chart for monitoring the coefficient of variation under ranked set sampling schemes
In this study, we introduce an Adaptive Exponentially Weighted Moving based Coefficient of Variation (AEWMCV) control chart, designed to address situations where the process mean fluctuates over time and the standard deviation of the process changes linearly with the process mean. To enhance the eff...
Autores principales: | Riaz, Afshan, Noor-ul-Amin, Muhammad, Emam, Walid, Tashkandy, Yusra, Yasmeen, Uzma, Rahimi, Javed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582038/ https://www.ncbi.nlm.nih.gov/pubmed/37848515 http://dx.doi.org/10.1038/s41598-023-45070-x |
Ejemplares similares
-
Adaptive multivariate dispersion control chart with application to bimetal thermostat data
por: Noor-ul-Amin, Muhammad, et al.
Publicado: (2023) -
Performance of Bayesian EWMA control chart with measurement error under ranked set sampling schemes with application in industrial engineering
por: Wang, Yuzhen, et al.
Publicado: (2023) -
Adaptive EWMA control chart using Bayesian approach under ranked set sampling schemes with application to Hard Bake process
por: Khan, Imad, et al.
Publicado: (2023) -
A novel Bayesian Max-EWMA control chart for jointly monitoring the process mean and variance: an application to hard bake process
por: Iqbal, Javed, et al.
Publicado: (2023) -
Monitoring of manufacturing process using bayesian EWMA control chart under ranked based sampling designs
por: Khan, Imad, et al.
Publicado: (2023)