The implementation of statistical techniques in on-line surveillance of financial markets has
been frequently studied more recently. As a novel approach, statistical control charts which …

Numerous supplementary Shewhart monitoring designs have emerged, customized to data
that follows specific non-normal distributions like the Rayleigh distribution (RD). The …

In recent years, scholars and practitioners have discussed several challenges related to the
fresh-food supply chains (SCs). One of these challenges is the lack of availability of curated …

Process monitoring is typically performed with quality control charts. The normality
assumption is often taken into consideration for the development of control charts. However …

A control chart for the mean of a process whose quality characteristic follows a Weibull
distribution is evaluated. In this sense, a transformation that follows an exponential …

In this paper, two approaches for measuring the distance between stock returns and the
network connectedness are presented that are based on the Pearson correlation coefficient …

In the area of multivariate process quality control, it is sometimes important to monitor the
ratio of two normal random variables denoted by RZ over time. The concept of control charts …

Many studies have focused on monitoring the incidence rate of Poisson count data with time-
varying sample sizes, with control charts being widely used. However, almost all of the …

The traditional variable control charts, such as the X¯ ̄X chart, are widely used to monitor
variation in a process. They have been shown to perform well for monitoring processes …

Control charts are widely used tools of statistical process control (SPC). They are effective
tools for indicating process shifts, helping avoid an increased number of defective products …