In this expository article we give an overview of some statistical methods for the monitoring
of social networks. We discuss the advantages and limitations of various methods as well as …

Cumulative sum and exponentially weighted moving average are also named as memory-
type statistical process control charts for they are good at quickly detecting the presence of …

In today's competitive landscape, fulfilling customer expectations and achieving a
competitive edge are crucial for business success. These objectives can be attained by …

When designing control charts the in‐control parameters are unknown, so the control limits
have to be estimated using a Phase I reference sample. To evaluate the in‐control …

This article is the first of its kind which proposes a Variable Parameters (VP) chart to monitor
the coefficient of variation (CV). Formulae for various performance measures and the …

Implementation of the Shewhart, CUSUM, and EWMA charts requires estimates of the in-
control process parameters. Many researchers have shown that estimation error strongly …

Parameter estimation has a large impact on control chart performance. Recently, widened
control limits have been suggested to guarantee an acceptable in-control behavior …

The times between events control charts have been proposed in literature for statistical
monitoring of high‐yield processes by observing the waiting times up to r th (r≥ 1) non …

Multivariate statistical process control (MSPC) addresses the concurrent monitoring of
several measurements. Since multivariate normality is rare in practice, nonparametric …

Count data monitoring has important applications in many fields. However, most of the
existing control charts for monitoring count data are parametric. Parametric control charts …