|About the authors|
Kai Yang, Ph.D., has consulted extensively in many areas of quality and reliability engineering. He is Associate Professor of Industrial and Manufacturing Engineering at Wayne State University, Detroit, Michigan. He lives in West Bloomfield, Michigan.
Jayant Trewn, Ph.D., is a research faculty member at Beaumont Hospital in Royal Oak, Michigan. He is responsible for implementing cutting edge industrial engineering tools in hospital and health care management. Dr. Trewn was a Director of Quality and Productivity Improvement at Vetri Systems, a Lason Company. He was responsible for business process design and improvement in the global business environment.
|Table of contents|
Chapter 1: Multivariate Statistical Methods and Quality
Chapter 2: Graphical Multivariate Data Display and Data Stratification
Chapter 3: Introduction to Multivariate Random Variables, Normal Distribution, and Sampling Properties
Chapter 4: Multivariate Analysis of Variance
Chapter 5: Principal Component Analysis and Factor Analysis
Chapter 6: Discriminant Analysis
Chapter 7: Cluster Analysis
Chapter 8: Mahalanobis Distance and Taguchi Method
Chapter 9: Path Analysis and the Structural Method
Chapter 10: Multivariate Statistical Process Control
APPENDIX: PROBABILITY DISTRIBUTION TABLES