Multivariate Statistical Process Control with Industrial Applications

Download or Read eBook Multivariate Statistical Process Control with Industrial Applications PDF written by Robert L. Mason and published by SIAM. This book was released on 2002-01-01 with total page 276 pages. Available in PDF, EPUB and Kindle.
Multivariate Statistical Process Control with Industrial Applications
Author :
Publisher : SIAM
Total Pages : 276
Release :
ISBN-10 : 0898718465
ISBN-13 : 9780898718461
Rating : 4/5 (65 Downloads)

Book Synopsis Multivariate Statistical Process Control with Industrial Applications by : Robert L. Mason

Book excerpt: This 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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