Chemometrics
Data Analysis for the Laboratory and Chemical Plant
Published on 9. June 2003
504 pages
978-0-470-84574-5 (ISBN)
Description
This book is aimed at the large number of people who need to usechemometrics but do not wish to understand complex mathematics,therefore it offers a comprehensive examination of the field ofchemometrics without overwhelming the reader with complexmathematics.
* Includes five chapters that cover the basic principles ofchemometrics analysis.
* Provides two chapters on the use of Excel and MATLAB forchemometrics analysis.
* Contains 70 worked problems so that readers can gain a practicalunderstanding of the use of chemometrics.
Reviews / Votes
"Statisticians, chemical engineers, and computing scientists willfind this book valuable and useful." (Journal of StatisticalComputation and Simulation, November 2005) "In short, this is the best book that I have seen covering theentire field of modern chemometrics both for the academic andindustrial user...I highly recommend it." (Technometrics,Vol. 46, No. 1, February 2004) "...a useful introductory overview of a wide range ofchemometric techniques..." (Organic Process Research &Development) "...a pleasure to read this clear description of such a broadand complex area...worth its price..." (Zeitschrift furPhysikalische Chemie, Vol 218(2), 2004) "...good job of explaining the nuts and bolts...recommend thisbook to anyone who wants to spend the time learning..."(Canadian Society of Forensic Science Journal, Vol 37(2),June 2004) ""...offers a comprehensive, practice-orientated examination ofthe field without overwhelming the reader with complexmathematics." (Metrohmm Information, Vol.33, No.3, 2004)More details
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03/2018
2nd Edition
Wiley-ISTE
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04/2003
Wiley
€156.96
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01/2003
Wiley
€99.90
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Book
01/2003
1st Edition
Wiley
€169.00
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Person
Professor Richard Brereton, is the Professor of Chemometrics at the University of Bristol, UK. He is head of the Centre for Chemometrics which carries out a variety of research work including forensic science, biological pattern recognition, pharmaceutical sciences, plastics analysis and how data captured from instrumentation should be treated. In 2006 he received the Theophilus Redwood Lectureship from the Royal Society of Chemistry. He has published extensively in the literature, including publishing two previous books with Wiley in 2003 and 2007.
Content
Preface.
Supplementary Information.
Acknowledgements.
1. INTRODUCTION.
Points of View.
Software and Calculations.
Further Reading.
References.
2. EXPERIMENTAL DESIGN.
Introduction.
Basic Principles.
Factorial Designs.
Central Composite or Response Surface Designs.
Mixture Designs.
Simplex Optimisation.
Problems.
3. SIGNAL PROCESSING.
Sequential Signals in Chemistry.
Basics.
Linear Filters.
Correlograms and Time Series Analysis.
Fourier Transform Techniques.
Topical Methods.
Problems.
4. PATTERN RECOGNITION.
Introduction.
The Concept and Need for Principal Components Analysis.
Principal Components Analysis: the Method.
Unsupervised Pattern Recognition: Cluster Analysis.
Supervised Pattern Recognition.
Multiway Pattern Recognition.
Problems.
5. CALIBRATION.
Introduction.
Univariate Calibration.
Multiple Linear Regression.
Principal Components Regression.
Partial Least Squares.
Model Validation.
Problems.
6. EVOLUTIONARY SIGNALS.
Introduction.
Exploratory Data Analysis and Preprocessing.
Determining Composition.
Resolution.
Problems.
Appendices
A.1 Vectors and Matrices.
A.2 Algorithms.
A.3 Basic Statistical Concepts.
A.4 Excel for Chemometrics.
A.5 Matlab for Chemometrics.
Index
