Multivariate statistical process control with industrial applications /

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Bibliographic Details
Author / Creator:Mason, Robert L. (Robert Lee), 1946-
Imprint:Philadelphia, PA : Society for Industrial and Applied Mathematics ; Alexandria, VA : ASA, 2002.
Description:xiii, 263 pages : illustrations ; 26 cm + 1 computer optical disc (4 3/4 in.)
Language:English
Series:ASA-SIAM series on statistics and applied probability
ASA-SIAM series on statistics and applied probability.
Subject:Process control -- Statistical methods.
Process control -- Statistical methods.
Electronic books
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12577201
Hidden Bibliographic Details
Other authors / contributors:Young, John C., 1942-
ISBN:0898714966
9780898714968
9780898718461
0898718465
Notes:Includes bibliographical references (page 253*257) and index.
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Also available in print version.
Summary: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.
Other form:Print version: Mason, Robert Lee, 1946- Multivariate statistical process control with industrial applications. Philadelphia, PA : Society for Industrial and Applied Mathematics ; Alexandria, VA : ASA, 2002 0898714966
Publisher's no.:SA09 siam