Cumulative Sum Charts and Charting for Quality Improvement

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Springer Science & Business Media, Jan 23, 1998 - Mathematics - 247 pages
Cumulative sum (CUSUM) control charting is a valuable tool for detecting and diagnosing persistent shifts in series of readings. It is used in traditional statistical process control (SPC) settings such as manufacturing, but is also effective in settings as diverse as personnel management, econometrics, and conventional data analysis. It is an essential tool for the quality professional. This book covers CUSUMs from an application-oriented viewpoint, while also providing the essential theoretical underpinning. It is accessible to anyone with a basic statistical training, and is aimed at quality practitioners, teachers and students of quality methodologies, and people interested in analysis of time-ordered data. The text is supported by a Web site containing CUSUM software and data sets. Douglas M. Hawkins is Chair of the Department of Applied Statistics, University of Minnesota. He is a Fellow of the American Statistical Association, a Member of the International Statistical Institute and a Senior member of the American Society for Quality Control. His work on multivariate CUSUMs won him the Ellis R. Ott Award for the best paper on quality published in 1993. He has been Associate Editor of Technometrics and Journal of the American Statistical Association. David H. Olwell is Associate Professor in the Department of Mathematical Sciences at the United States Military Academy. He is a member of the American Statistical Association, the American Society for Quality Control, and the Military Operations Research Society, where his work on applications of CUSUMs to managing sexual harassment was nominated for the 1998 Barchi prize. He is Editor of Mathematica
 

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Page 240 - Srivastava, MS and Worsley, KJ (1986). Likelihood Ratio Tests for a Change in the Multivariate Normal Mean.
Page 232 - Bissell, AF (1984). The performance of control charts and cusums under linear trend.
Page 240 - Using the generalized likelihood ratio statistic for sequential detection of a change-point Ann Stat.
Page 240 - Algorithmic Statistical Process Control: Concepts and an Application,

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