Cumulative Sum Charts and Charting for Quality Improvement

1. Front Matter

   Pages i-xvi

   PDF

2. Introduction

   • Douglas M. Hawkins, David H. Olwell

   Pages 1-30

3. CUSUM design

   • Douglas M. Hawkins, David H. Olwell

   Pages 31-45

4. More about normal data

   • Douglas M. Hawkins, David H. Olwell

   Pages 47-82

5. Other continuous distributions

   • Douglas M. Hawkins, David H. Olwell

   Pages 83-104

6. Discrete data

   • Douglas M. Hawkins, David H. Olwell

   Pages 105-133

7. Theoretical foundations of the CUSUM

   • Douglas M. Hawkins, David H. Olwell

   Pages 135-158

8. Calibration and short runs

   • Douglas M. Hawkins, David H. Olwell

   Pages 159-187

9. Multivariate data

   • Douglas M. Hawkins, David H. Olwell

   Pages 189-210

10. Special topics

    • Douglas M. Hawkins, David H. Olwell

    Pages 211-227

11. Software

    • Douglas M. Hawkins, David H. Olwell

    Pages 229-230

12. References

    • Douglas M. Hawkins, David H. Olwell

    Pages 231-242

13. Back Matter

    Pages 231-247

    PDF

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

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

• Department of Applied Sciences, University of Minnesota, St. Paul, USA

  Douglas M. Hawkins

• Department of Mathematical Sciences, U.S. Military Academy, West Point, USA

  David H. Olwell

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