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Cumulative Sum Charts and Charting for Quality Improvement

  • Douglas M. Hawkins
  • David H. Olwell

Part of the Statistics for Engineering and Physical Science book series (ISS)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Douglas M. Hawkins, David H. Olwell
    Pages 1-30
  3. Douglas M. Hawkins, David H. Olwell
    Pages 31-45
  4. Douglas M. Hawkins, David H. Olwell
    Pages 47-82
  5. Douglas M. Hawkins, David H. Olwell
    Pages 83-104
  6. Douglas M. Hawkins, David H. Olwell
    Pages 105-133
  7. Douglas M. Hawkins, David H. Olwell
    Pages 135-158
  8. Douglas M. Hawkins, David H. Olwell
    Pages 159-187
  9. Douglas M. Hawkins, David H. Olwell
    Pages 189-210
  10. Douglas M. Hawkins, David H. Olwell
    Pages 211-227
  11. Douglas M. Hawkins, David H. Olwell
    Pages 229-230
  12. Douglas M. Hawkins, David H. Olwell
    Pages 231-242
  13. Back Matter
    Pages 231-247

About this book

Introduction

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

Keywords

Binomial distribution Markov Mathematica Operations Research Poisson distribution Regression Signal Variance data analysis model statistics

Authors and affiliations

  • Douglas M. Hawkins
    • 1
  • David H. Olwell
    • 2
  1. 1.Department of Applied SciencesUniversity of MinnesotaSt. PaulUSA
  2. 2.Department of Mathematical SciencesU.S. Military AcademyWest PointUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-1686-5
  • Copyright Information Springer-Verlag New York, Inc. 1998
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-7245-8
  • Online ISBN 978-1-4612-1686-5
  • Series Print ISSN 1613-9011
  • Buy this book on publisher's site
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