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Nonparametric multivariate covariance chart for monitoring individual observations
(
Elsevier
, 2022 , Article)
Parametric and nonparametric multivariate control charts that are proven very useful in monitoring the covariance matrix of multivariate normally or “nearly” normally distributed continuous datasets have been proposed in ...
Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model
(
Springer
, 2022 , Article)
While numerous contributions and applications have been extended in profile monitoring, little attention has been paid to employing machine learning techniques in development of control charts. In this paper, a novel control ...
Efficient GLM-based control charts for Poisson processes
(
John Wiley & Sons, Ltd
, 2022 , Article)
The control charts are essential instruments that can impart crucial insights to quality controllers for maintaining the productivity of manufacturing processes. The conventional charting designs are based on a single study ...
Contributing risk factors of common psychiatric disorders in the Pakistani population
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
With an increasing incidence of psychiatric disorders worldwide, there is a need for a better understanding of the population-specific contributing risk factors that are associated with common psychiatric conditions. This ...
Monitoring multivariate coefficient of variation for high-dimensional processes
(
John Wiley and Sons Ltd
, 2022 , Article)
Multivariate coefficient of variation (MCV) charts are effective tools for monitoring process relative variability. They are developed on the assumption that the process subgroup size available for monitoring the MCV ...
Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
While numerous contributions and applications have been extended in profile monitoring, little attention has been paid to employing machine learning techniques in development of control charts. In this paper, a novel control ...
Monitoring non-parametric profiles using adaptive EWMA control chart
(
Nature Research
, 2022 , Article)
To monitor the quality of a process in statistical process control (SPC), considering a functional relationship between a dependent variable and one or more independent variables (which is denoted as profile monitoring) ...
Improved Nonparametric Control Chart Based on Ranked Set Sampling with Application of Chemical Data Modelling
(
Hindawi Limited
, 2022 , Article)
e statistical performance of parametric control charts is questionable when the underlying process does not follow any speci ed
probability distribution. Nonparametric control charts are the best substitute for this ...
Response Surface Methodology for Optimization of Operational Parameters to Remove Ciprofloxacin from Contaminated Water in the Presence of a Bacterial Consortium
(
American Chemical Society
, 2022 , Article)
Ciprofloxacin (CFX) is a broad-spectrum fluoroquinolone antibiotic that is widely used to treat bacterial infections in humans and other animals. However, its unwanted occurrence in any (eco)system can affect nontarget ...