This paper gives an account of some of the recent work on structural breaks in time series
models. In particular, we show how procedures based on the popular cumulative sum …

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 …

The purpose of this paper is to provide an overview and our perspective of recent research
and applications of statistical process monitoring. The focus is on work done over the past …

Statistical process control (SPC) methods are widely used to monitor and improve
manufacturing processes and service operations. Disputes over the theory and application …

In most statistical process control (SPC) applications, it is assumed that the quality of a
process or product can be adequately represented by the distribution of a univariate quality …

We give a brief review of the developments in several classical problems of sequential
analysis and their applications to biomedicine, economics and engineering. Even though it …

The problem of detecting changes in the statistical properties of a stochastic system and time
series arises in various branches of science and engineering. It has a wide spectrum of …

Data from public health surveillance systems can provide meaningful measures of
population risks for disease, disability, and death. Analysis and evaluation of these …

摘要作为保障工业过程安全性, 可靠性和经济性的重要技术, 异常检测, 寿命预测与维修决策在
过去几十年得到了越来越广泛的关注和长足的发展. 本文结合异常检测, 寿命预测与维修决策各 …

Nonparametric control charts are useful in statistical process control (SPC) when there is a
lack of or limited knowledge about the underlying process distribution, especially when the …