Douglas M. Hawkins, David H. Olwell

Cumulative Sum Charts and Charting for Quality Improvement (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 247
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461216865
• Artikelnr.: 44179223

Inhaltsangabe

1 Introduction.- 1.1 Common-cause and special-cause variability.- 1.2 Transient and persistent special causes.- 1.3 The Shewhart and CUSUM charts.- 1.4 Basis for the CUSUM chart for a normal mean.- 1.5 Out-of-control distribution of the CUSUM.- 1.6 Testing for a shift -the V mask.- 1.7 Estimation following a signal.- 1.8 Using individual readings or rational groups.- 1.9 The decision interval form of the CUSUM.- 1.10 Summary.- 1.11 Further reading.- 2 CUSUM design.- 2.1 The choice of k and h.- 2.2 Runs, run length, and average run length.- 2.3 The Shewhart Xbar chart as CUSUM.- 2.4 Summary.- 2.5 Further reading.- 3 More about normal data.- 3.1 In-control ARLs.- 3.2 Out-of-control ARLs.- 3.3 FIR CUSUMs: zero start and steady state start.- 3.4 Controlling for the mean within a range.- 3.5 The impact of variance shifts.- 3.6 Combined Shewhart and CUSUM charts.- 3.7 Effect of model departures.- 3.8 Weighted CUSUMs.- 3.9 Summary.- 3.10 Further reading.- 4 Other continuous distributions.- 4.1 The gamma family and normal variances.- 4.2 The inverse Gaussian family.- 4.3 Example from General Motors.- 4.4 Comments.- 4.5 Further reading.- 5 Discrete data.- 5.1 Types of discrete data.- 5.2 The graininess of the ARL function.- 5.3 The Poisson distribution and count data.- 5.4 The Poisson and CUSUMs.- 5.5 Weighted Poisson CUSUMs.- 5.6 The binomial distribution.- 5.7 Weighted binomial CUSUMs.- 5.8 Other discrete distributions.- 5.9 Summary.- 5.10 Further reading.- 6 Theoretical foundations of the CUSUM.- 6.1 General theory.- 6.2 The general exponential family.- 6.3 The Markov property of CUSUMs.- 6.4 Getting the ARL.- 6.5 Summary.- 6.6 Further reading.- 7 Calibration and short runs.- 7.1 The self-starting approach.- 7.2 The self-starting CUSUM for a normal mean.- 7.3 Self-startingCUSUMs for gamma data.- 7.4 Discrete data.- 7.5 Summary.- 7.6 Further reading.- 8 Multivariate data.- 8.1 Outline of the multivariate normal.- 8.2 Shewhart charting-Hotelling's T2.- 8.3 CUSUM charting - various approaches.- 8.4 Regression adjustment.- 8.5 Choice of regression adjustment.- 8.6 The use of several regression-adjusted variables.- 8.7 The multivariate exponentially weighted moving average.- 8.8 Summary.- 8.9 Further reading.- 9 Special topics.- 9.1 Robust CUSUMs.- 9.2 Recursive residuals in regression.- 9.3 Autocorrelated data.- 9.4 Summary.- 9.5 Further reading.- 10 Software.- 10.1 Programs and templates.- 10.2 Data files.- References.