Provides a practical introduction to multivariate quality control, focusing on typical quality control problem formulations and relying on case studies and MINITAB computer macros to illustrate basic and advanced quality control methods in organizational and industrial contexts. Coverage includes statistical tolerance regions, computer graphic analysis techniques, multivariate control charts, and methods for detecting variables that cause out-of-control signals. Appendices offer MINITAB macros, data from case studies, and a review of matrix algebra for statistics with MINITAB computations. Can be used in university courses, especially one-semester courses in statistical process control or industrial statistics, in industrial workshops, and as a reference. Requires access to MINITAB 11.0 or higher. Annotation c. by Book News, Inc., Portland, Or.
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