In this paper we discuss the basic procedures for the implementation of multivariate
statistical process control via control charting. Furthermore, we review multivariate …

This volume hopes to fill a growing need for the description of current methodology in public
health surveillance. Recent advances in syndromic surveillance and, more generally, in …

In monitoring complex systems, apart from quick detection of abnormal changes of system
performance and key parameters, accurate fault diagnosis of responsible factors has …

This paper presents a multivariate homogeneously weighted moving average (MHWMA)
control chart for monitoring a process mean vector. The MHWMA control chart statistic gives …

Statistical process monitoring (SPM) techniques have been widely used in industry for many
decades in order to assess the process stability, as well as the final product quality …

Step-down diagnostic analysis to infer which means have changed (after detection of a shift
in the mean vector) is familiar in multivariate statistical process control. We show how to …

Identifying the change point or the starting time of a disturbance in a process can play an
essential role in root cause analysis. Although, in univariate environment, change point …

Recent evidence suggests ever-increasing applications of statistical process control (SPC)
in health data analysis. However, the diversity in numbers and types of included variables …

Abstract Annual Product Review recommending by the Food and Drug Administration and
the International Conference on Harmonization is a periodic assessment of products quality …