Mathematics, Statistics & Physics: Recent submissions
Now showing items 261-280 of 728
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Novel Mixed EWMA Dual-Crosier CUSUM Mean Charts without and with Auxiliary Information
( Hindawi Limited , 2022 , Article)The classical cumulative SUM (CUSUM) chart is commonly used to monitor a particular size of the mean shift. In many real processes, it is assumed that the shift level varies within a range, and the exact level of the shift ... -
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 ... -
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) ... -
On designing a sequential based EWMA structure for efficient process monitoring
( Taylor and Francis Ltd. , 2020 , Article)Control chart is a popular technique that is widely used in statistical process control to identify any possible deviations from a stable state of a process. Shewhart charts are famous for identifying larger shifts, while ... -
Employing machine learning techniques in monitoring autocorrelated profiles
( Springer Science and Business Media Deutschland GmbH , 2023 , Article)In profile monitoring, it is usually assumed that the observations between or within each profile are independent of each other. However, this assumption is often violated in manufacturing practice, and it is of utmost ... -
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 ... -
An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring
( Elsevier , 2022 , Article)Profile monitoring is a challenging issue in statistical process control (SPC). It aims to use a functional relationship between a response variable and one or more explanatory variable(s) to summarize the quality of a ... -
Bayesian Monitoring of Linear Profiles Using DEWMA Control Structures with Random X
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)The process structures of manufacturing industry are efficiently modeled using linear profiles. Classical and Bayesian set-ups are two well-appreciated schemes for designing control charts for the monitoring of process ... -
Enhanced adaptive multivariate EWMA and CUSUM charts for process mean
( Taylor and Francis Ltd. , 2021 , Article)The multivariate charts are mostly used to simultaneously monitor several quality characteristics in manufacturing processes. In this study, we enhance the sensitivities of the recently proposed adaptive multivariate EWMA ... -
Efficient linear profile schemes for monitoring bivariate correlated processes with applications in the pharmaceutical industry
( Elsevier , 2020 , Article)The complexity of chemical processes warrants that collection of information about the processes will continue as they proceed through the various stages of industrialization. Process monitoring has emerged as an essential ... -
On designing efficient memory-type charts using multiple auxiliary-information
( Taylor and Francis Ltd. , 2023 , Article)This article intends to investigate new progressive mean (MEP) charts using a single auxiliary characteristic (AMEP) and two auxiliary characteristics (TAMEP) to trace small shifts in the process mean effectively. The ... -
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 ... -
Employing evolutionary artificial neural network in risk-adjusted monitoring of surgical performance
( Springer Science and Business Media Deutschland GmbH , 2023 , Article)Various applications of control charts in the field of health-care monitoring and surveillance can be found in the literature. As one of the major categories, monitoring binary outcomes of cardiac surgeries with the aim ... -
Phase II monitoring of linear profiles with random explanatory variable under Bayesian framework
( Elsevier , 2019 , Article)Linear profiles monitoring have been successfully implemented in many industrial applications. The design structures of control charts for profiles monitoring are mostly based on two major classifications namely Classical ... -
On designing an assorted control charting approach to monitor process dispersion: an application to hard-bake process
( Taylor and Francis Ltd. , 2020 , Article)The monitoring of process variability is an important feature to get optimal output from a process. Control charts are vital tools used for efficient process monitoring. The commonly used types of charts include Shewhart, ... -
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 ... -
New efficient exponentially weighted moving average variability charts based on auxiliary information
( John Wiley and Sons Ltd , 2020 , Article)Control chart is a well-known tool for monitoring the performance of an ongoing process. The variability of a process is an important parameter that may deteriorate the process performance if it is not taken care on time. ... -
Efficient bivariate EWMA charts for monitoring process dispersion
( John Wiley and Sons Ltd , 2020 , Article)To ensure high quality standards of a process, the application of control charts to monitor process performance has become a regular routine. Multivariate charts are a preferred choice in the presence of more than one ... -
A non-parametric double homogeneously weighted moving average control chart under sign statistic
( John Wiley and Sons Ltd , 2021 , Article)In practical situations, the underlying process distribution sometimes deviates from normality and their distribution is partially or completely unknown. In that instance, rather than staying with/depending on the conventional ... -
Bayesian EWMA control charts based on Exponential and transformed Exponential distributions
( John Wiley and Sons Ltd , 2021 , Article)In this paper, we proposed the Bayesian exponentially weighted moving average (EWMA) control charts for mean under the nonnormal life time distributions. We used the time between events data which follow the Exponential ...