An overview and perspective on social network monitoring

WH Woodall, MJ Zhao, K Paynabar, R Sparks… - IISE …, 2017 - Taylor & Francis
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 …

Statistical learning methods applied to process monitoring: An overview and perspective

M Weese, W Martinez, FM Megahed… - Journal of Quality …, 2016 - Taylor & Francis
The increasing availability of high-volume, high-velocity data sets, often containing variables
of different data types, brings an increasing need for monitoring tools that are designed to …

Some current directions in the theory and application of statistical process monitoring

WH Woodall, DC Montgomery - Journal of Quality Technology, 2014 - Taylor & Francis
The purpose of this paper is to provide an overview and our perspective of recent research
and applications of statistical process monitoring. The focus is on work done over the past …

[图书][B] Statistical analysis of profile monitoring

A Saghaei, R Noorossana, A Amiri - 2013 - Wiley Online Library
The aim of this book is to summarize major achievements in statistical profile monitoring
methods. Statistical profile monitoring can be considered as a potential subarea of statistical …

Monitoring univariate processes using control charts: Some practical issues and advice

IM Zwetsloot, LA Jones-Farmer, WH Woodall - Quality Engineering, 2024 - Taylor & Francis
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 …

Bridging the gap between theory and practice in basic statistical process monitoring

WH Woodall - Quality Engineering, 2017 - Taylor & Francis
Some issues are discussed relative to the gap between theory and practice in the area of
statistical process monitoring (SPM). Among other issues, it is argued that the collection and …

Statistical transfer learning: A review and some extensions to statistical process control

F Tsung, K Zhang, L Cheng, Z Song - Quality Engineering, 2018 - Taylor & Francis
The rapid development of information technology, together with advances in sensory and
data acquisition techniques, has led to the increasing necessity of handling datasets from …

Statistical perspectives on “big data”

FM Megahed, LA Jones-Farmer - Frontiers in statistical quality control 11, 2015 - Springer
As our information infrastructure evolves, our ability to store, extract, and analyze data is
rapidly changing. Big data is a popular term that is used to describe the large, diverse …

Detecting mean changes in experience sampling data in real time: A comparison of univariate and multivariate statistical process control methods.

E Schat, F Tuerlinckx, AC Smit… - Psychological …, 2023 - psycnet.apa.org
Detecting early warning signals of developing mood disorders in continuously collected
affective experience sampling (ESM) data would pave the way for timely intervention and …

CUSUM monitoring of first-order integer-valued autoregressive processes of Poisson counts

CH Weiss, MC Testik - Journal of quality technology, 2009 - Taylor & Francis
Attributes control charts for counts generally assume that the process being monitored is
independent and identically distributed in its in-control state. However, violation of this …