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Chemometrics – Data Analysis for the Laboratory and Chemical Plant

RG Brereton (Autor)

Software / Digital Media
504 Seiten
2003
John Wiley & Sons Inc (Hersteller)
978-0-470-86324-4 (ISBN)
CHF 199,95 inkl. MwSt
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Chemometrics is the use of mathematics to solve complex analytical problems such as the measurement of many compounds in a large number of river water samples. This book offers a comprehensive examination of the field without overwhelming the reader with complex mathematics.
This book is aimed at the large number of people who need to use chemometrics but do not wish to understand complex mathematics, therefore it offers a comprehensive examination of the field of chemometrics without overwhelming the reader with complex mathematics. Includes five chapters that cover the basic principles of chemometrics analysis. Provides two chapters on the use of Excel and MATLAB for chemometrics analysis. Contains 70 worked problems so that readers can gain a practical understanding of the use of chemometrics.

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.

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

Erscheint lt. Verlag 15.4.2003
Verlagsort New York
Sprache englisch
Maße 192 x 238 mm
Gewicht 870 g
Themenwelt Naturwissenschaften Chemie
ISBN-10 0-470-86324-2 / 0470863242
ISBN-13 978-0-470-86324-4 / 9780470863244
Zustand Neuware
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