A challenge, in the era of economic crisis and uncertainty, is to provide health care services
in an efficient and effective manner. The protection of public health, the provision of quality …

Statistical process monitoring (SPM) techniques have been widely used in industry for many
decades in order to assess the process stability, as well as the final product quality …

A traffic tensor or simply origin× destination× time is a new data model for conventional
origin/destination (O/D) matrices. Tensor models are traffic data analysis techniques which …

Early detection of a disease risk plays a vital role in successful treatment of the disease.
Many chronic diseases, eg, stroke, can be treated satisfactorily if they can be detected early …

In recent years, effective monitoring of data quality has increasingly attracted attention of
researchers in the area of statistical process control. Among the relevant research on this …

This work presents a procedure for monitoring the centre of multivariate processes by
optimising the noncentrality parameter with respect to the maximum separability between …

Abstract Multivariate Syndromic Surveillance (SyS) systems that simultaneously assess and
combine information from different data sources are especially useful for strengthening …

We introduce the construction of MEWMA (Multivariate exponentially weighted
movingaverage) process control in the field of bio surveillance. Such introduction will both …

In some productive processes where normal variables intervene, it is necessary to control
specific directions of shifts (increments or decrements) in the mean vector. Many multivariate …

Applications of shift detection are of interest in several disciplines. Sufficient reduction (SR)
methods have been developed for detecting a shift in a multivariate process under different …