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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About the Book

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 an introduction to these areas for people with little or moderate knowledge of chemometrics. The book has been designed in an attractive 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 the field and they bring a complementary range of experience and interests to this project. Tormod Naes has a PhD in statistics and is Senior Scientist at Nofima and Visiting Professor at the University of Copenhagen. His main interest is developing and applying multivariate methods. The late Tomas Isaksson was Professor of Food Science at the Agricultural University of Norway. He worked in the area of non-destructive quality analysis and chemometrics. Tom Fearn is Professor of Applied Statistics at University College London. He has worked in the area of multi-variate calibration and discrimination for over 30 years. Tony (A.M.C.) Davies first used multiple regression analysis in 1965. He works as an NIR consultant and has been writing about chemometrics since 1989.This Second Edition includes Digital Object Identifiers (DOIs) for references where these are -available, facilitating the finding of references online.

Table of Contents:
Univariate calibration and the need for multivariate methodsMulticollinearity and the need for data compressionData compression by PCR and PLSInterpreting PCR and PLS solutionsData compression by variable selectionData compression by Fourier analysis and waveletsNon-linearity problems in calibrationScatter correction of spectroscopic dataThe idea behind an algorithm for locally weighted regressionOther methods used to solve non-linearity problemsValidationOutlier detectionMonitoring calibration equationsStandardisation of instrumentsQualitative analysis/classificationAbbreviations and symbolsReferencesTechnical detailsNIR spectroscopyProposed calibration and classification proceduresSubject index


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Product Details
  • ISBN-13: 9781906715250
  • Publisher: IM Publications Open LLP
  • Publisher Imprint: IM Publications LLP
  • Edition: Revised edition
  • Spine Width: 20 mm
  • ISBN-10: 1906715254
  • Publisher Date: 06 Apr 2017
  • Binding: Paperback
  • Height: 242 mm
  • Width: 170 mm


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