Chemometrics (PDF)
Data Analysis for the Laboratory and Chemical Plant
(Sprache: Englisch)
* 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.
* 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.
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Produktinformationen zu „Chemometrics (PDF)“
* 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.
* 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.
Inhaltsverzeichnis zu „Chemometrics (PDF)“
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
Autoren-Porträt von Richard G. Brereton
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.
Bibliographische Angaben
- Autor: Richard G. Brereton
- 2003, 1. Auflage, 504 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0470845740
- ISBN-13: 9780470845745
- Erscheinungsdatum: 09.06.2003
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- Größe: 4.30 MB
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Sprache:
Englisch
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