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Chemometrics in Spectroscopy

Autor Howard Mark, Jerry Workman Jr.
en Limba Engleză Paperback – 11 iul 2018
Chemometrics in Spectroscopy, Second Edition, provides the reader with the methodology crucial to apply chemometrics to real world data. It 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. In addition, traditional chemometrics books do not cover spectroscopy to the point of understanding the basis for the underlying phenomena.
The second edition has been expanded with 50% more content covering 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: 9780128053096
ISBN-10: 0128053097
Pagini: 1090
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 AlgebraSection 2. Matrix Algebra and Multiple Linear RegressionSection 3. Experimental DesignsSection 4. Analytic GeometrySection 5. Regression TechniquesSection 6. Linearity in CalibrationSection 7. Collaborative Laboratory StudiesSection 8. Analysis of NoiseSection 9. DerivativesSection 10. Goodness of Fit StatisticsSection 11. More About Linearity in CalibrationSection 12. Connecting Chemometrics to StatisticsSection 13. Limitations in Analytical AccuracySection 14. Derivations of Principal ComponentsSection 15. Clinical Data ReportingSection 16. Classical Least Squares (CLS)Section 17. Transfer of CalibrationsSection 18. The Importance of Units of MeasureSection 19. The Best Calibration ModelSection 20. StatisticsSection 21. OutliersSection 22. Spectral Transfer: Making Instruments AgreeSection 23. Applying Standard Reference MaterialsSection 24. More About CLS