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 …

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 …

In recent years, effective profile monitoring for discrete response variables, such as binary,
multinomial, ordinal or Poisson variables, has increasingly attracted interest of researchers …

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 …

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 …

Profile monitoring has been an increasingly popular statistical process control (SPC)
problem recently. In many applications, quality characteristics of interest are attribute data …

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 …

Statistical process control for count data has attracted increasing attention in recent years.
The need for efficient control charts suitable for autocorrelated multivariate count processes …

Brief Abstract This article focuses on estimation of multivariate simple linear profiles. While
outliers may hamper the expected performance of the ordinary regression estimators, this …

The quality characteristic of some production and service processes is represented by an
ordinal profile. The ordinal profile describes the functional relationship between the …