Control charts are powerful tools used to monitor the quality of processes. In practice, control
chart limits are often calculated using parameter estimates from an in-control Phase I …

This volume provides an up-to-date coverage of the theory and applications of ordered
random variables and their functions. Furthermore, it develops the distribution theory of OS …

Statistical process control (SPC) methods are widely used to monitor and improve
manufacturing processes and service operations. Disputes over the theory and application …

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 …

A control chart for detecting shifts in the variance of a process is developed for the case
where the nominal value of the variance is unknown. As our approach does not require that …

Mobile systems must adapt their behavior to changing network conditions. To do this, they
must accurately estimate available network capacity. Producing quality estimates is …

In this paper we investigate control charts for monitoring a process to detect changes in the
mean and/or variance of a normal quality variable when an individual observation is taken at …

This paper studies the effects of non-normality and autocorrelation on the performances of
various individuals control charts for monitoring the process mean and/or variance. The …

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 …

A preliminary control chart based on individual observations for detecting a shift in either the
mean or variance or both is developed from a likelihood ratio test. The advantages over use …