Process monitoring is regarded as a continuous phenomenon requiring careful
consideration to acquire an enhanced output quality. Dispersion and location are significant …

In the context of distribution-free process monitoring and control, the Cucconi statistic has
attracted more and more attention in recent years. The original Cucconi statistic was …

Extreme rainfall events are a major cause of highly disruptive flooding in small urban
watersheds with limited flood risk management systems. In the Ngong River Basin of Kenya …

Improvements in measuring devices, the development of sensing technologies, automated
record-keeping and cloud storage facilities have offered us a large volume of data streams …

Two new distribution-free Lepage-type statistical process monitoring schemes are proposed.
One is the double exponentially weighted moving average Lepage scheme, and the other is …

In this paper, we develop two adaptive approaches for detecting the signal source in a
bivariate process when a shift occurs in the location vector or the scale matrix or both. The …

This paper introduces two new goodness-of-fit tests for the geometric distribution based on
discrete adaptations of the Watson W 2 and Anderson-Darling A 2 statistics, where the …

There are many practical situations in which the underlying process distribution is either
completely unknown or partially known but deviates from normality. In such cases, the …

The coefficient of variation (CV) of a population is defined as the ratio of the population
standard deviation to the population mean, which can be regarded as a measure of stability …

Many existing monitoring schemes in the literature are based on the in-control (IC) average
or median run-length. Several Phase-II schemes frequently fail to protect against the high …