Unusual clusters of disease must be detected rapidly for effective public health interventions
to be introduced. Over the past decade there has been a surge in interest in statistical …

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 …

A major tool for quality control and management, statistical process control (SPC) monitors
sequential processes, such as production lines and Internet traffic, to ensure that they work …

There are many applications of control charts in health-care monitoring and in public-health
surveillance. We introduce these applications to industrial practitioners and discuss some of …

Control charts are widely used in industry to monitor processes that are far from Zero-Defect
(ZD), and their use in a near Zero-Defect manufacturing environment poses many problems …

For monitoring the number of nonconformities per unit in industrial processes during the
inspection, Poisson control charts are most widely deployed. These charting structures are …

Statistical process monitoring (SPM) has traditionally been applied to manufacturing
processes; however, more recent developments highlight its application to social networks …

The p chart is often used to monitor the fraction of non‐conforming products. However, the p
chart is slow in detecting sustaining shifts of small magnitude in the level of fraction non …

This article considers the problem of monitoring Poisson count data when sample sizes are
time varying without assuming a priori knowledge of sample sizes. Traditional control charts …

While the Poisson distribution is a classical statistical model for count data, the distributional
model hinges on the constraining property that its mean equal its variance. This text instead …