Fuchs C., Kenett R. Multivariate Quality Control: Theory and Applications

NY: M. Dekker, 1998. — 225 p. — (Quality and Reliability 54). — ISBN: 0-8247-9939-9.Provides a theoretical foundation as well as practical tools for the analysis of multivariate data, using case studies and MINITAB computer macros to illustrate basic and advanced quality control methods. This work offers an approach to quality control that relies on statistical tolerance regions, and discusses computer graphic analysis highlighting multivariate profile charts.Quality Control with Multivariate Data
The Multivariate Normal Distribution in Quality Control
Quality Control with Externally Assigned Targets
Quality Control with Internal Targets – Multivariate Process Capability Studies
Quality Control with Targets from a Reference Sample
Analyzing Data with Multivariate Control Charts
Detection of Out-of-Control Characteristics
The Statistical Tolerance Regions Approach
Multivariate Quality Control with Units in Batches
Applications of Principal Components
Additional Graphical Techniques for Multivariate Quality Control
Implementing Multivariate Quality Control
Appendix 1. MINITAB^TM Macros for Multivariate Quality Control
Appendix 2. The Data from the Case Studies
Appendix 3. Review of Matrix Algebra for Statistics with MINITAB^TM Computations