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 highlightin

chapter 1|8 pages

Quality Control with Multivariate Data

chapter 8|10 pages

The Statistical Tolerance Regions Approach

chapter 10|8 pages

Applications of Principal Components

chapter 12|10 pages

Implementing Multivariate Quality Control