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

By: Contributor(s): Material type: TextTextPublication details: Boca Raton: CRC Press, 2021Description: xviii, 334 pages, 23.5 cmISBN:
  • 9780367029975
Subject(s): DDC classification:
  • 23 000SA.07 C435
Contents:
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
Summary: 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.
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Holdings
Item type Current library Call number Status Notes Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.07 C435 (Browse shelf(Opens below)) Available Gifted by Prof. Ashis Kumar Chakraborty C26692
Total holds: 0

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.

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