Control charts that are based on assumption (s) of a specific form for the underlying process
distribution are referred to as parametric control charts. There are many applications where …

We provide an overview and perspective on the Phase I collection and analysis of data for
use in process improvement and control charting. In Phase I, the focus is on understanding …

A much-needed introduction to the field of discrete-valued time series, with a focus on count-
data time series Time series analysis is an essential tool in a wide array of fields, including …

We provide a critical outlook of the evolution of Industrial Process Monitoring (IPM) since its
introduction almost 100 years ago. Several evolution trends that have been structuring IPM …

Technological advances led to increasingly larger industrial quality-related datasets calling
for process monitoring methods able to handle them. In such context, the application of …

In this expository article we give an overview of some statistical methods for the monitoring
of social networks. We discuss the advantages and limitations of various methods as well as …

Major difficulties in the study of high‐quality processes with traditional process monitoring
techniques are a high false alarm rate and a negative lower control limit. The purpose of …

High-dimensional and time-dependent data pose significant challenges to statistical process
monitoring. Dynamic principal-component analysis, recursive principal-component analysis …

We provide an overview and discussion of some issues and guidelines related to monitoring
univariate processes with control charts. We offer some advice to practitioners to help them …

In many applications, it is of interest to identify anomalous behavior within a dynamic
interacting system. Such anomalous interactions are reflected by structural changes in the …