Cumulative Sum Charts and Charting for Quality Improvement

Douglas M. Hawkins, David H. Olwell

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English

Springer-Verlag New York Inc.
06 October 2012

Probability & statistics; Stochastics; Maths for engineers

Series: Information Science and Statistics

Summary
Details

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

By: Douglas M. Hawkins, David H. Olwell
Imprint: Springer-Verlag New York Inc.
Country of Publication: United States
Edition: Softcover reprint of the original 1st ed. 1998
Dimensions: Height: 235mm, Width: 155mm, Spine: 14mm
Weight: 415g
ISBN: 9781461272458
ISBN 10: 1461272459
Series: Information Science and Statistics
Pages: 247
Publication Date: 06 October 2012
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active