In this paper we discuss the basic procedures for the implementation of multivariate
statistical process control via control charting. Furthermore, we review multivariate …

There are many applications of control charts in health-care monitoring and in public-health
surveillance. We introduce these applications to industrial practitioners and discuss some of …

It is often important to rapidly detect an increase in the incidence rate of a given disease or
other medical condition. It has been shown that when disease counts are sequentially …

When a control chart addresses an out-of-control condition, a root-cause analysis should be
started to identify and eliminate the special cause (s) of variation manifested in the process …

In this paper, we develop new techniques for monitoring image processes under a fairly
general setting with spatially correlated pixels in the image. Monitoring and handling the …

In this paper control charts for the mean of a multivariate Gaussian process are considered.
Using the generalized likelihood ratio approach and the sequential probability ratio test …

In recent years, effective monitoring of data quality has increasingly attracted attention of
researchers in the area of statistical process control. Among the relevant research on this …

Process knowledge can be exploited to improve the performance of control charts and it is
not unusual to know that a specific variable shifts above or below its mean under an …

This paper introduces a one-sided multivariate exponentially weighted moving average
(MEWMA) chart for detecting an increase in a process mean. The control limits are based on …

In this paper, an overview of recent developments on monitoring image processes is
presented. We consider a relatively general model wherein the in-control state spatially …