Chemometrics

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A01=Richard G. Brereton
alternating least squares (ALS)
analytical chemistry
analyze chemometrics datasets using Excel
analyze chemometrics datasets using Matlab
Author_Richard G. Brereton
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chemometrics
chemometrics and biological pattern recognition
chemometrics and evolutionary data
chemometrics and pharmaceutical sciences
chemometrics applications
chemometrics calibration
chemometrics classification
chemometrics experimental design
chemometrics pattern recognition
chemometrics research
chemometrics signal processing
chemometrics workbook
Chemometrics: Data Analysis for the Laboratory and Chemical Plant
classification
cluster analysis
data analysis
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evolutionary signal
experimental design
factor analysis
guide to chemometrics
iterative target transformation factor analysis (ITTFA)
Matlab
metabolomics
metabolomics-type examples of chemometrics
multivariate calibration
multivariate statistics
pattern recognition
principal component analysis (PCA)
principles of chemometrics
signal deconvolution
signal resolution
statistics
statistics and chemometrics

Product details

  • ISBN 9781118904664
  • Weight: 1293g
  • Dimensions: 216 x 277mm
  • Publication Date: 30 Mar 2018
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Paperback
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A new, full-color, completely updated edition of the key practical guide to chemometrics

This new edition of this practical guide on chemometrics, emphasizes the principles and applications behind the main ideas in the field using numerical and graphical examples, which can then be applied to a wide variety of problems in chemistry, biology, chemical engineering, and allied disciplines. Presented in full color, it features expansion of the principal component analysis, classification, multivariate evolutionary signal and statistical distributions sections, and new case studies in metabolomics, as well as extensive updates throughout. Aimed at the large number of users of chemometrics, it includes extensive worked problems and chapters explaining how to analyze datasets, in addition to updated descriptions of how to apply Excel and Matlab for chemometrics. 

Chemometrics: Data Driven Extraction for Science, Second Edition offers chapters covering: experimental design, signal processing, pattern recognition, calibration, and evolutionary data. The pattern recognition chapter from the first edition is divided into two separate ones: Principal Component Analysis/Cluster Analysis, and Classification. It also includes new descriptions of Alternating Least Squares (ALS) and Iterative Target Transformation Factor Analysis (ITTFA). Updated descriptions of wavelets and Bayesian methods are included.

  • Includes updated chapters of the classic chemometric methods (e.g. experimental design, signal processing, etc.)
  • Introduces metabolomics-type examples alongside those from analytical chemistry
  • Features problems at the end of each chapter to illustrate the broad applicability of the methods in different fields
  • Supplemented with data sets and solutions to the problems on a dedicated website, www.booksupport.wiley.com

Chemometrics: Data Driven Extraction for Science, Second Edition is recommended for post-graduate students of chemometrics as well as applied scientists (e.g. chemists, biochemists, engineers, statisticians) working in all areas of data analysis.

RICHARD G. BRERETON is Director of Brereton Consultancy and Emeritus Professor at the University of Bristol, UK. He is Fellow of the Royal Society of Chemistry, Royal Statistical Society and Royal Society of Medicine. He has applied chemometrics in a wide variety of areas including pharmaceuticals, materials, metabolomics, heritage studies and forensics, and has published over 400 articles, including writing/editing eight books.

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