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 this research, we develop three statistical based control charts: the Hotelling's T 2,
MEWMA (multivariate exponentially weighted moving average), and LRT (likelihood ratio …

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 …

In many industrial processes, the quality characteristic of interest has a relation (linear or
non-linear) with other supporting variable (s). Simple linear profile is a well-known term used …

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 …

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 …

As a common approach in the development of control charts in Statistical Process Control
(SPC), an industrial process is monitored with one or more quality characteristics using their …

A statistical profile is a relationship between a quality characteristic (a response) and one or
more explanatory variables to characterize quality of a process or a product. Monitoring …

In this study, we first propose the rk class estimator in COM-Poisson regression, and then we
introduce the Shewhart control chart using the deviance residuals obtained from the rk class …

The effect of parameters estimation on profile monitoring methods has only been studied by
a few researchers and only the assumption of a normal response variable has been tackled …