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 …

A much-needed introduction to the field of discrete-valued time series, with a focus on count-
data time series Time series analysis is an essential tool in a wide array of fields, including …

Control charts based on the Poisson distribution are commonly used to monitor count data in
attributes. However, the Poisson distribution is based on the underlying equidispersion …

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 …

The control chart based on the geometric distribution (geometric chart) has been shown to
be competitive with p-or np-charts for monitoring the proportion nonconforming, especially …

Although it is well known that the performance of attribute control charts decreases
significantly when the assumption of known process parameters is invalid, this assumption is …

Adaptive control charts allow the components of the quality‐monitoring scheme to vary in
order to obtain improved performance over non‐adaptive control charts. Research has …

Cumulative Sum (CUSUM) type control charts are widely used in industry because of their
effectiveness for process control. The Poisson CUSUM is a powerful and easy-to-implement …

We evaluate the in‐control performance of the np‐control chart with estimated parameter
conditional on the Phase I sample. We then apply the bootstrap method to adjust the control …

Control charts are powerful Statistical Process Monitoring tools to detect departures from in-
control situations. However, their power detection relies on the fact that all assumptions …