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       IM Publications :: NIR Spectroscopy :: A User-Friendly Guide to Multivariate Calibration and Classification

 

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A User-Friendly Guide to Multivariate Calibration and Classification
A User-Friendly Guide to Multivariate Calibration and Classification
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The field of chemometrics in general and multivariate calibration and classification in particular is now an essential tool for many analytical techniques. This book provides a readable text, for non-mathematicians, as a introduction to these areas for people with little or moderate knowledge of chemometrics. The book has been designed in an atractive and easily read format, with many diagrams and the use of margin notes to highlight important features.

The authors are all very well known in this field and they bring a complementary range of experience and interests to this project.

Tormod Næs has a PhD in statistics and is Professor at University of Oslo and Principal research scientist at Matforsk. His main interest is developing and applying multivariate methods.

Tomas Isaksson is Professor of Food Science at Agricultural University of Norway. He has worked in the area of non-destructive quality analysis and chemometrics for about 15 years.

Tom Fearn is Professor of Applied Statistics at University College London. He has worked in the area of multivariate calibration and discrimination for over twenty years.

Tony (A.M.C.) Davies first used multiple regression analysis in 1965. He works as an NIR consultant and editor and writes about chemometrics in the Tony Davies Column in Spectroscopy Europe.


 
 
Contents

  • Basic problems and their solutions
  • Univariate calibration and the need for multivariate methods
  • Multicollinearity and the need for data compression
  • Data compression by PCR and PLS
  • Interpreting PCR and PLS solutions
  • Data compression by variable selection
  • Data compression by Fourier analysis and wavelets
  • Non-linearity problems in calibration
  • Scatter correction of spectroscopic data
  • The idea behind and algorithm for locally weighted regression
  • Other methods used to solve non-linearity problems
  • Validation
  • Outlier detection
  • Selection of samples for calibration
  • Monitoring calibration equations
  • Standardisation of instruments
  • Qualitative analysis/classification
  • Abbreviations and symbols
  • Appendix A. Technical details
  • Appendix B. NIR spectroscopy
  • Appendix C. Proposed calibration and classification procedures


Details
 
Author Tormod Næs, Tomas Isaksson, Tom Fearn, Tony Davies
Binding Hardback
Published 2002
No. Pages viii + 344
Availability In stock for immediate despatch

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