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Titlebook: Cumulative Sum Charts and Charting for Quality Improvement; Douglas M. Hawkins,David H. Olwell Book 1998 Springer Science+Business Media N

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Book 1998onal 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 viewpo
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Elena Gaura,Michael Allen,Geoffrey Challenonse CUSUMs, CUSUMs for variance shifts, weighted CUSUMs, and combined Shewhart/CUSUM charting. We also examine the effects of model departures on CUSUM schemes. We begin with a closer look at the mechanics of determining ARLs.
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Book 1998Fellow 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 E
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CUSUM design, quite modest, and its diagnosis using either the V-mask or the equivalent decision interval form. In this chapter, we look more closely at the design of the CUSUM — that is, at the choice of the parameters . and . that define the decision interval scheme or the equivalent V-mask.
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More about normal data,lustrated the CUSUM for the mean of normal data; this chapter gives more detail. We look at extensions to the basic method, covering Fast Initial Response CUSUMs, CUSUMs for variance shifts, weighted CUSUMs, and combined Shewhart/CUSUM charting. We also examine the effects of model departures on CUS
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