Chemometrics : data analysis for the laboratory and chemical plant

著者

書誌事項

Chemometrics : data analysis for the laboratory and chemical plant

Richard G. Brereton

J. Wiley, c2003

  • : hard
  • : pbk

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注記

Includes bibliographical references (p. 12-13) and index

内容説明・目次

巻冊次

: hard ISBN 9780471489771

内容説明

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.

目次

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.
巻冊次

: pbk ISBN 9780471489788

内容説明

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.

目次

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

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