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Chemometrics in Spectroscopy: Revised Second Edition

Autor Howard Mark, Jerry Workman Jr.
en Limba Engleză Paperback – 30 sep 2021
Chemometrics in Spectroscopy, Revised Second Edition provides the reader with the methodology crucial to apply chemometrics to real world data. The book allows scientists using spectroscopic instruments to find explanations and solutions to their problems when they are confronted with unexpected and unexplained results. Unlike other books on these topics, it explains the root causes of the phenomena that lead to these results. While books on NIR spectroscopy sometimes cover basic chemometrics, they do not mention many of the advanced topics this book discusses.
This revised second edition has been expanded with 50% more content on advances in the field that have occurred in the last 10 years, including calibration transfer, units of measure in spectroscopy, principal components, clinical data reporting, classical least squares, regression models, spectral transfer, and more.


  • Written in the column format of the authors’ online magazine
  • Presents topical and important chapters for those involved in analysis work, both research and routine
  • Focuses on practical issues in the implementation of chemometrics for NIR Spectroscopy
  • Includes a companion website with 350 additional color figures that illustrate CLS concepts
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Specificații

ISBN-13: 9780323911641
ISBN-10: 0323911641
Pagini: 1092
Dimensiuni: 191 x 235 mm
Greutate: 1.83 kg
Ediția:2
Editura: ELSEVIER SCIENCE

Public țintă

Academic and industrial chemists who use NIR spectroscopy in their work; scientists in virtually every field of chemical endeavour, as well as in medicine, biochemistry, food analysis, clothing and related industries, petrochemicals, and more

Cuprins

Section 1. Elementary Matrix Algebra
Section 2. Matrix Algebra and Multiple Linear Regression
Section 3. Experimental Designs
Section 4. Analytic Geometry
Section 5. Regression Techniques
Section 6. Linearity in Calibration
Section 7. Collaborative Laboratory Studies
Section 8. Analysis of Noise
Section 9. Derivatives
Section 10. Goodness of Fit Statistics
Section 11. More About Linearity in Calibration
Section 12. Connecting Chemometrics to Statistics
Section 13. Limitations in Analytical Accuracy
Section 14. Derivations of Principal Components
Section 15. Clinical Data Reporting
Section 16. Classical Least Squares (CLS)
Section 17. Transfer of Calibrations
Section 18. The Importance of Units of Measure
Section 19. The Best Calibration Model
Section 20. Statistics
Section 21. Outliers
Section 22. Spectral Transfer: Making Instruments Agree
Section 23. Applying Standard Reference Materials
Section 24. More About CLS