Many extensions and modifications have been made to standard process monitoring
methods such as the exponentially weighted moving average (EWMA) chart and the …

The statistical performance of parametric control charts is questionable when the underlying
process does not follow any specified probability distribution. Nonparametric control charts …

With rapid advances in data acquisition technology, developing multivariate control charts
under high-dimensional settings has recently attracted increasing attention in many …

This study presents an in-depth evaluation of fourteen distinct ranked-set sampling
methodologies employed to enhance the efficacy of Shewhart-type dispersion charts in …

Multivariate charts for process dispersion detect changes in the variance‐covariance matrix
of a process. Most of the existing multivariate charts for monitoring the dispersion of …

Majority of the existing statistical procedures for monitoring the covariance matrix of the
multivariate processes are based on normality or other distributional assumption. In order to …

Homogeneously weighted moving average (HWMA) charts have recently achieved
popularity for monitoring small changes in process parameters (location and/or dispersion) …

To reduce the quality loss cost imposed on the manufacturer, it is essential to develop
multivariate control charting methods to be more sensitive to process disturbances than …

Abbas1 showed mathematically that progressive mean statistic can be viewed as
exponentially weighted moving average statistic with varying sensitivity parameter. A …

Research Article Improved Nonparametric Control Chart Based on Ranked Set Sampling with
Application of Chemical Data Modelling Page 1 Research Article Improved Nonparametric …