(Read now) Cumulative Sum Charts and Charting for Quality Improvement (Information Science and Statistics)
| #3882301 in Books | 1998-01-23 | Original language:English | PDF # 1 | 9.21 x.69 x6.14l,1.20 | File Name: 0387983651 | 247 pages
||25 of 25 people found the following review helpful.| nice text on an important topic in quality control|By Michael R. Chernick|Much like Shewhart charts CUSUM Charts are used to detect changes in a process over time. They are commonly used by engineers to do statistical process control. Doug Hawkins is a statistician and professor with expertise in multivariate analysis and outlier detection. Many years ago he wrote a nice lit|About the Author|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 Societ
Covering CUSUMs from an application-oriented viewpoint, while also providing the essential theoretical underpinning, this is an accessible guide for anyone with a basic statistical training. The text is aimed at quality practitioners, teachers and students of quality methodologies, and people interested in analysis of time-ordered data. Further support is available from a Web site containing CUSUM software and data sets.
[PDF.zk81] Cumulative Sum Charts and Charting for Quality Improvement (Information Science and Statistics) Rating: 3.95 (671 Votes)
Cumulative Sum Charts and Douglas M. Hawkins, David H. Olwell epub Cumulative Sum Charts and Douglas M. Hawkins, David H. Olwell pdf download Cumulative Sum Charts and Douglas M. Hawkins, David H. Olwell audiobook Cumulative Sum Charts and Douglas M. Hawkins, David H. Olwell summary Cumulative Sum Charts and Douglas M. Hawkins, David H. Olwell textbooks Cumulative Sum Charts and Douglas M. Hawkins, David H. Olwell Free
You easily download any file type for your device.Cumulative Sum Charts and Charting for Quality Improvement (Information Science and Statistics) | Douglas M. Hawkins, David H. Olwell. A good, fresh read, highly recommended.