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 …

In profile monitoring, it is usually assumed that the observations between or within each
profile are independent of each other. However, this assumption is often violated in …

The objective of this paper is to study the Phase I monitoring and change point estimation of
autocorrelated Poisson profiles where the response values within each profile are …

A profile is a functional relationship between two or more variables used to monitor the
process performance and its quality. Sometimes, the aforementioned relationship is linear or …

This paper introduces a Markov model in Phase II profile monitoring with autocorrelated
binary response variable. In the proposed approach, a logistic regression model is extended …

In some applications of statistical process monitoring, a quality characteristic can be
characterized by linear regression relationships between several response variables and …

Multivariate multiple profile monitoring has been studied extensively over the past few years.
Most of these studies assumed that the observations are uncorrelated, which could be …

The current study investigates the effect of within‐profile and between‐profile
autocorrelations on the performance of four monitoring methods of simple linear profiles in …

A control chart is one of the statistical process techniques that is used to monitor different
processes. Some processes are characterized by functions or profiles, and a profile is a …

When a multistage manufacturing process is monitored statistically, the cascade property
results in a more complicated condition compared to the case when a single-stage process …