Multivariate Statistical Process Control with Industrial Application
By addebook • Nov 20th, 2008 • Category: Mathematics
Multivariate Statistical Process Control with Industrial Application (ASA-SIAM Series on Statistics and Applied Probability 9) (ASA-SIAM Series on Statistics and Applied Probability)
Multivariate Statistical Process Control with Industrial Application (ASA-SIAM Series on Statistics and Applied Probability 9) (ASA-SIAM Series on Statistics and Applied Probability)
By Robert L. Mason, John C. Young
Publisher: Society for Industrial Mathematics
Number Of Pages: 250
Publication Date: 2001-12-04
ISBN-10 / ASIN: 0898714966
ISBN-13 / EAN: 9780898714968
Binding: Hardcover
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.
Please Login or Register to read the rest of this content.
Related Posts
One Response »
Leave a Reply
You must be logged in to post a comment.
Please, update the link for (Multivariate Statistical Process Control with Industrial Application) in rapidshare
(The file could not be found. Please check the download link.)