In this chapter, we provide an up-to-date overview of nonparametric Shewhart-type
univariate control charts. The monitoring schemes incorporated in the present literature …

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 …

We generalize popular distribution-free (nonparametric) Shewhart–Lepage scheme for
simultaneously monitoring of location and scale parameters using an adaptive approach …

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 …

Multivariate time-between-events-and-amplitude (TBEA) data, which includes the time
interval between two consecutive occurrences of the event as well as their amplitudes, is a …

Abstract The AEWMA (Adaptive Exponentially Weighted Moving Average) chart is a scheme
that combines the Shewhart and the classical EWMA charts in a smooth way. In this paper, a …

Customer complaints about a product or service can be evaluated using the sentiment
intensity (S) and time interval (T) of negative reviews. Previous control chart-based research …

This paper proposes a new distribution-free control chart by integrating the powerful
nonparametric two-sample Cramér-von Mises test and the exponentially weighted moving …

Process monitoring is a continuous phenomenon and it needs careful attention for an
improved quality of output. Location and dispersion parameters play a vital role in regulating …

Abstract Evaluation of performance and quality of manufacturing and business processes
using statistics is a central issue. Process quality depends on several characteristics that …