
2001 / xiii + 263 pages / Hardcover / ISBN: 9780898714968 / List Price $93.00 / ASASIAM Member Price $65.10 / Includes CDROM / Order Code SA09
This applied, selfcontained text provides detailed coverage of the practical aspects of multivariate statistical process control (MVSPC)based on the application of Hotelling's T^{2} 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 T^{2} statistic. Intentionally including only a minimal amount of theory, they lead readers through the construction and monitoring phases of the T^{2} 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.
Specifically devoted to the T^{2} methodology, Multivariate Statistical Process Control with Industrial Applications is the only book available that concisely and thoroughly presents such topics as how to construct a historical data set; how to check the necessary assumptions used with this procedure; how to chart the T^{2} statistic; how to interpret its signals; how to use the chart in the presence of autocorrelated data; and how to apply the procedure to batch processes. The book comes with a CDROM containing a 90day demonstration version of the QualStat™ multivariate SPC software specifically designed for the application of T^{2} control procedures. The CDROM is compatible with Windows™ 95, Windows™ 98, Windows™ Me Millennium Edition, and Windows NT™ operating systems.
Audience
Analysts seeking to use Hotelling's T^{2} as a control statistic for a multivariate industrial process will find this consolidated reference invaluable. The book will show readers how to establish and utilize the multivariate control procedure based on Hotelling's T^{2} statistic and to apply it to an industrial process. Readers should be familiar with univariate control chart construction and monitoring procedures, but need not be informed about the application of multivariate control procedures based on the T^{2} statistic.
Contents
Preface; Chapter 1: Introduction to the T^{2} Statistic; Chapter 2: Basic Concepts about the T^{2} Statistic; Chapter 3: Checking Assumptions for Using a T^{2} Statistic; Chapter 4: Construction of Historical Data Set; Chapter 5: Charting the T^{2} Statistic in Phase I; Chapter 6: Charting the T^{2} Statistic in Phase II; Chapter 7: Interpretation of T^{2} Signals for Two Variables; Chapter 8: Interpretation of T^{2} Signals for the General Case; Chapter 9: Improving the Sensitivity of the T^{2} Statistic; Chapter 10: Autocorrelation in T^{2} Control Charts; Chapter 11 The T^{2} Statistic and Batch Processes; Appendix: Distribution Tables; Bibliography; Index.
ISBN: 9780898714968