Hanbook of multivariate process capability indices/ Ashis Kumar Chakraborty and Moutushi Chatterjee

Includes bibliographical references and index

1. Introduction -- 2. Some useful concepts of univariate and multivariate statistics -- 3. Univariate process capability indices -- 4. Bivariate process capability indices -- 5. Multivariate process capability indices for bilateral specification region based on principal component analysis (PCA) -- 6. Ratio-based multivariate process capability indices for symmetric specification region -- 7. Multivariate process capability indices for asymmetric specification region -- 8. Multivariate process capability indices for unilateral specification region -- 9. Multivariate process capability indices based on proportion of nonconformance -- 10. Multivariate process capability indices for quality characteristics having nonnormal statistical distributions -- 11. Multivariate process capability indices based on Bayesian approach -- 12. Multivariate process capability indices for autocorrelated data -- 13. Multivariate process capability vectors -- 14. MPCIs defined by other miscellaneous approaches -- 15. Applications of MPCIs

This book provides an extensive study of the MPCIs defined for various types of specification regions. This book is intended to help quality professionals to understand which MPCI should be used and in what situation. For researchers in this field, the book provides a thorough discussion about each of the MPCIs developed to date, along with their statistical and analytical properties. Also, real life examples are provided for almost all the MPCIs discussed in the book. This helps both the researchers and the quality professionals alike to have a better understanding of the MPCIs, which otherwise become difficult to understand, since there is more than one quality characteristic to be controlled at a time.