
Chemometrics
Statistics and Computer Application in Analytical Chemistry
Matthias Otto(Author)
Wiley-VCH (Publisher)
4th Edition
Published on 27. December 2023
Book
Paperback/Softback
432 pages
978-3-527-35266-1 (ISBN)
Description
Serving as both an introductory text and practical approach, covers all relevant chemometric topics from basic statistics, via modeling and databases right up to the latest artificial intelligence and neural network developments.
More details
Edition
4. Auflage
Language
English
Place of publication
Berlin
Germany
Target group
Professional and scholarly
Dimensions
Height: 240 mm
Width: 167 mm
Thickness: 22 mm
Weight
814 gr
ISBN-13
978-3-527-35266-1 (9783527352661)
Schweitzer Classification
Other editions
Additional editions

E-Book
11/2023
4th Edition
Wiley-VCH
€97.99
Available for download

E-Book
11/2023
4th Edition
Wiley-VCH
€97.99
Available for download
Previous edition

Book
11/2016
3rd Edition
Wiley-VCH
€97.90
Article exhausted; check for reprint
Person
Matthias Otto is Professor emeritus of Analytical Chemistry at the TU Bergakademie Freiberg in Germany. He studied at the University of Leipzig. In 1984 he moved to Freiberg (Germany) as a lecturer and was appointed full Professor there in 1987. He has taught almost all aspects of analytical chemistry, mainly within the curricula of chemistry, applied sciences and geoecology, and organizes courses in basic and advanced chemometrics. He is author and editor of successful textbooks in analytical chemistry.
Content
Contents
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
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