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Explore chemometrics from basic statistics to the latest artificial intelligence and neural network developments in this new edition
Chemometrics is an area of study combining chemistry and mathematics. It governs the interpretation of data generated by chemical analysis, and its growth as a subfield promises to streamline and revolutionize analytical chemistry.
Chemometrics has long been the leading introductory textbook in this subject. Beginning with an introduction to the statistical-mathematical evaluation of chemical measurements, it leads readers through modern chemometric approaches in a pedagogically sound and highly readable style. Now fully updated to reflect the latest research and applications of this exciting discipline, it provides essential tools for a new generation of analytical chemists.
Readers of the fourth edition of Chemometrics will also find:
- New or expanded treatment of subjects such as deep learning, ANNOVA simultaneous component analysis, instrumental data output, and more
- Detailed discussion of approaches to signal processing, design and optimization of experiments, pattern recognition and classification, and many other areas
- Balance of theoretical and practical knowledge to enable rapid application of key techniques
Chemometrics is ideal for advanced students in chemistry, analytical chemistry, pharmaceutical chemistry, biochemistry, or related subjects, and as a useful reference for practicing researchers and laboratory professionals.
Explore chemometrics from basic statistics to the latest artificial intelligence and neural network developments in this new edition
Chemometrics is an area of study combining chemistry and mathematics. It governs the interpretation of data generated by chemical analysis, and its growth as a subfield promises to streamline and revolutionize analytical chemistry.
Chemometrics has long been the leading introductory textbook in this subject. Beginning with an introduction to the statistical-mathematical evaluation of chemical measurements, it leads readers through modern chemometric approaches in a pedagogically sound and highly readable style. Now fully updated to reflect the latest research and applications of this exciting discipline, it provides essential tools for a new generation of analytical chemists.
Readers of the fourth edition of Chemometrics will also find:
- New or expanded treatment of subjects such as deep learning, ANNOVA simultaneous component analysis, instrumental data output, and more
- Detailed discussion of approaches to signal processing, design and optimization of experiments, pattern recognition and classification, and many other areas
- Balance of theoretical and practical knowledge to enable rapid application of key techniques
Chemometrics is ideal for advanced students in chemistry, analytical chemistry, pharmaceutical chemistry, biochemistry, or related subjects, and as a useful reference for practicing researchers and laboratory professionals.
List of Abbreviations VII
Symbols IX
1 What is Chemometrics?
1.1 The Computer-Based Laboratory
1.2 Statistics and Data Interpretation
1.3 Computer-Based Information Systems/Artificial Intelligence
General Reading
Questions and Problems
2 Basic Statistics
2.1 Descriptive Statistics
2.2 Statistical Tests
2.3 Analysis of Variance
General Reading
Questions and Problems
3 Signal Processing and Time Series Analysis
3.1 Signal Processing
3.2 Time Series Analysis
General Reading
Questions and Problems
4 Optimization and Experimental Design
4.1 Systematic Optimization
4.2 Objective Functions and Factors
4.3 Experimental Design and Response Surface Methods
4.4 Sequential Optimization: Simplex Method
General Reading
Questions and Problems
5 Pattern Recognition and Classification
5.1 Preprocessing of Data
5.2 Unsupervised Methods
5.3 Supervised Methods
General Reading
Questions and Problems
6 Modeling
6.1 Univariate Linear Regression
6.2 Multiple Linear Regression
6.3 Nonlinear Methods
General Reading
Questions and Problems
7 Analytical Databases
7.1 Representation of Analytical Information
7.2 Library Search
7.3 Simulation of Spectra
General Reading
Questions and Problems
8 Knowledge Processing and Soft Computing
8.1 Artificial Intelligence and Expert Systems
8.2 Neural Networks
8.3 Fuzzy Theory
8.4 Genetic Algorithms and Other Global Search
Strategies
General Reading
Questions and Problems
9 Quality Assurance and Good Laboratory Practice
9.1 Validation and Quality Control
9.2 Accreditation and Good Laboratory Practice
General Reading
Questions and Problems
Appendix
Index
Erscheinungsjahr: | 2023 |
---|---|
Fachbereich: | Theoretische Chemie |
Genre: | Chemie, Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: | 432 S. |
ISBN-13: | 9783527352661 |
ISBN-10: | 352735266X |
Sprache: | Englisch |
Herstellernummer: | 1135266 000 |
Einband: | Kartoniert / Broschiert |
Autor: | Otto, Matthias |
Auflage: | 4. Auflage |
Hersteller: | Wiley-VCH GmbH |
Verantwortliche Person für die EU: | Wiley-VCH GmbH, Boschstr. 12, D-69469 Weinheim, product-safety@wiley.com |
Maße: | 240 x 167 x 22 mm |
Von/Mit: | Matthias Otto |
Erscheinungsdatum: | 27.12.2023 |
Gewicht: | 0,814 kg |
List of Abbreviations VII
Symbols IX
1 What is Chemometrics?
1.1 The Computer-Based Laboratory
1.2 Statistics and Data Interpretation
1.3 Computer-Based Information Systems/Artificial Intelligence
General Reading
Questions and Problems
2 Basic Statistics
2.1 Descriptive Statistics
2.2 Statistical Tests
2.3 Analysis of Variance
General Reading
Questions and Problems
3 Signal Processing and Time Series Analysis
3.1 Signal Processing
3.2 Time Series Analysis
General Reading
Questions and Problems
4 Optimization and Experimental Design
4.1 Systematic Optimization
4.2 Objective Functions and Factors
4.3 Experimental Design and Response Surface Methods
4.4 Sequential Optimization: Simplex Method
General Reading
Questions and Problems
5 Pattern Recognition and Classification
5.1 Preprocessing of Data
5.2 Unsupervised Methods
5.3 Supervised Methods
General Reading
Questions and Problems
6 Modeling
6.1 Univariate Linear Regression
6.2 Multiple Linear Regression
6.3 Nonlinear Methods
General Reading
Questions and Problems
7 Analytical Databases
7.1 Representation of Analytical Information
7.2 Library Search
7.3 Simulation of Spectra
General Reading
Questions and Problems
8 Knowledge Processing and Soft Computing
8.1 Artificial Intelligence and Expert Systems
8.2 Neural Networks
8.3 Fuzzy Theory
8.4 Genetic Algorithms and Other Global Search
Strategies
General Reading
Questions and Problems
9 Quality Assurance and Good Laboratory Practice
9.1 Validation and Quality Control
9.2 Accreditation and Good Laboratory Practice
General Reading
Questions and Problems
Appendix
Index
Erscheinungsjahr: | 2023 |
---|---|
Fachbereich: | Theoretische Chemie |
Genre: | Chemie, Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: | 432 S. |
ISBN-13: | 9783527352661 |
ISBN-10: | 352735266X |
Sprache: | Englisch |
Herstellernummer: | 1135266 000 |
Einband: | Kartoniert / Broschiert |
Autor: | Otto, Matthias |
Auflage: | 4. Auflage |
Hersteller: | Wiley-VCH GmbH |
Verantwortliche Person für die EU: | Wiley-VCH GmbH, Boschstr. 12, D-69469 Weinheim, product-safety@wiley.com |
Maße: | 240 x 167 x 22 mm |
Von/Mit: | Matthias Otto |
Erscheinungsdatum: | 27.12.2023 |
Gewicht: | 0,814 kg |