Multivariate Statistical Process Control with Industrial Applications
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Multivariate Statistical Process Control with Industrial Applications by Robert L. Mason
Book DescriptionThis applied, self-contained text provides detailed coverage of the practical aspects of multivariate statistical process control (MVSPC) based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. The authors, leading researchers in this area who have developed major software for this type of charting procedure, provide valuable insight into the T2 statistic. Intentionally including only a minimal amount of theory, they lead readers through the construction and monitoring phases of the T2 control statistic using numerous industrial examples taken primarily from the chemical and power industries. These examples are applied to the construction of historical data sets to serve as a point of reference for the control procedure and are also applied to the monitoring phase, where emphasis is placed on signal location and interpretation in terms of the process variables.
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Book DetailsISBN: 9780898714968
(228mm x 152mm x 18mm)
Imprint: Society for Industrial & Applied Mathematics,U.S.
Publisher: Society for Industrial & Applied Mathematics,U.S.
Publish Date: 1-Jan-1987
Country of Publication: United States
Books By Author Robert L. Mason
Statistical Design and Analysis of Experiments, Hardback (February 2003)
Emphasizes the strategy of experimentation, data analysis, and the interpretation of experimental results. * Features numerous examples using actual engineering and scientific studies. * Presents statistics as an integral component of experimentation from the planning stage to the presentation of the conclusions.
Pitman's Measure of Closeness, Paperback (January 1987)» View all books by Robert L. Mason
This book provides a thorough introduction to the methods and known results associated with PMC.
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