An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme
Sometimes the quality of a process is best expressed by a relationship between response
variables and explanatory variables. Checking over the time the stability of such functional …
variables and explanatory variables. Checking over the time the stability of such functional …
A network surveillance approach using machine learning based control charts
Network surveillance, ie, the detection of anomalous behaviour in communications in a
network, has become an important issue in recent years. In this field, techniques of statistical …
network, has become an important issue in recent years. In this field, techniques of statistical …
[HTML][HTML] New statistical and machine learning based control charts with variable parameters for monitoring generalized linear model profiles
In this research, we develop three statistical based control charts: the Hotelling's T 2,
MEWMA (multivariate exponentially weighted moving average), and LRT (likelihood ratio …
MEWMA (multivariate exponentially weighted moving average), and LRT (likelihood ratio …
Evolutionary support vector regression for monitoring Poisson profiles
Many researchers have shown interest in profile monitoring; however, most of the
applications in this field of research are developed under the assumption of normal …
applications in this field of research are developed under the assumption of normal …
The monitoring and improvement of surgical-outcome quality
In this expository paper, we review methods for monitoring medical outcomes with a focus
on surgical quality. We discuss the importance and role of risk adjustment. We give the …
on surgical quality. We discuss the importance and role of risk adjustment. We give the …
Nonparametric control schemes for profiles with attribute data
Y Shang, Z Wang, Y Zhang - Computers & Industrial Engineering, 2018 - Elsevier
Attribute data are very common in the real production and service processes. Therefore,
many kinds of control charts for attribute data have been studied in the literature. On the …
many kinds of control charts for attribute data have been studied in the literature. On the …
Phase II monitoring of generalized linear profiles using weighted likelihood ratio charts
In recent years, effective profile monitoring for discrete response variables, such as binary,
multinomial, ordinal or Poisson variables, has increasingly attracted interest of researchers …
multinomial, ordinal or Poisson variables, has increasingly attracted interest of researchers …
Profile monitoring with binary data and random predictors
The purpose of profile monitoring is to check the stability over time of relationships between
response variables and one or more explanatory variables. In many applications …
response variables and one or more explanatory variables. In many applications …
Monitoring logistic profiles using variable sample interval approach
M Mohammadzadeh, A Yeganeh… - Computers & Industrial …, 2021 - Elsevier
Investigation the stability of the relationship between a response variable and one or more
independent variables over time is termed as profile monitoring. In the area of profile …
independent variables over time is termed as profile monitoring. In the area of profile …
Control charts based on randomized quantile residuals
In practice, quality characteristics do not always follow a normal distribution, and quality
control processes sometimes generate non‐normal response outcomes, including …
control processes sometimes generate non‐normal response outcomes, including …