Detailed coverage of the practical aspects of multivariate statistical process control based on the application of Hotelling's T2 statistic.
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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. Provides valuable insight into the T2 statistic.
Preface; 1. Introduction to the T2 Statistic; 2. Basic Concepts about the T2 Statistic; 3. Checking Assumptions for Using a T2 Statistic; 4. Construction of Historical Data Set; 5. Charting the T2 Statistic in Phase I; 6. Charting the T2 Statistic in Phase II; 7. Interpretation of T2 Signals for Two Variables; 8. Interpretation of T2 Signals for the General Case; 9. Improving the Sensitivity of the T2 Statistic; 10. Autocorrelation in T2 Control Charts; 11 The T2 Statistic and Batch Processes; Appendix. Distribution Tables; Bibliography; Index.
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