Multivariate Data Analysis 6th Edition

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An introduction to Multivariate Analysis, Process Analytical Technology and Quality by Design

Multivariate Data Analysis (ISBN 978-8269110401) latest edition is currently the most up-to-date resource on chemometrics and Multivariate Data Analysis. The field of chemometrics is the application of multivariate data analysis methodology to solve chemistry-based problems. It explains not only how to understand experimental outputs, but also to put this newfound knowledge into use for deeper scientific understanding or business gains.

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  • Weight
    1200 g
  • ISBN

The authors’ of Multivariate Data Analysis have extensive practical experience from science, technology and industry is combined with the newest software on the market to present a unique didactic scope of Multivariate Data Analysis with full understanding of all necessary underlying principles. 

New topics such as PAT (Process Analytical Technology), QbD (Quality by Design) and TOS (Theory of Sampling), are covered in this 6th Edition of Multivariate Data Analysis. In addition to detailed explanations, all chapters have many illustrative examples for a better understanding of the concepts - and how they work in practice.

All examples and case stories have been updated from previous versions of the book. Both specific and all-encompassing, both deeply theoretical and grounded in modern application, accessible but advanced, this book serves as a fantastic teaching and reference tool for understanding the field of chemometrics.

"An excellent book to introduce chemometrics in a smooth and user-friendly way, both from a theoretical as well as a practical point of view. It is certainly good supporting material for chemometric teaching at undergraduate and graduate levels in chemistry and assuredly in many related scientific fields, and a very good self-learning basis for anyone wanting to use chemometric methods in industry or academia."

  • Chapter 1. Introduction to multivariate analysis
  • Chapter 2. A review of some fundamental statistics
  • Chapter 3. Theory of Sampling (TOS)
  • Chapter 4. Fundamentals of principals component analysis (PCA) 69
  • Chapter 5. Preprocessing
  • Chapter 6. Principal Component Analysis (PCA)-in practice
  • Chapter 7. Multivariate calibration
  • Chapter 8. Principles of Proper Validation (PPV)
  • Chapter 9. Replication-replicates-but of what?
  • Chapter 10. An introduction to multivariate classification
  • Chapter 11. Introduction to Design of Experiment (DoE) Methodology
  • Chapter 12. Factor rotation and multivariate curve resolution-introduction to multivariate data analysis, tier II
  • Chapter 13. Process analytical technology (PAT) and its role in the quality by design (QbD) initiative
  • Authors
    Kim Esbensen, Brad Swarbrick, Frank Westad
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  • Pages
  • Weight (g)
  • ISBN-13
  • ISBN-10

Kim H. Esbensen Consultant, independent researcher: Theory and Practice of Sampling (TOS), PAT and chemometrics. Adjunct, associate and guest professor at five universities.

Brad Swarbrick Independent consultant and trainer in the application of QbD, PAT and multivariate methodology in pharmaceutical and other process industries.

Frank Westad Chief Scientific Officer, CAMO Software and adjunct professor, Norwegian University of Science and Technology. Specialist in multivariate classification and regression methods; image analysis.

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