Most chemists, whether they are biochemists, organic, analytical, pharmaceutical or clinical chemists and many pharmacists and biologists need to perform chemical analysis. Consequently, they are not only confronted with carrying out the actual analysis, but also with problems such as method selection, experimental design, optimization, calibration, data acquisition and handling, and statistics in order to obtain maximum relevant chemical information. In other words: they are confronted with chemometrics. This book on chemometrics, written by some of the leaders in the field, aims to provide a thorough, up-to-date introduction to this subject. The reader is given the opportunity to acquaint himself with the tools used in this discipline and the way in which they are applied. Some practical examples are given and the reader is shown how to select the appropriate tools in a given situation.As such the book provides the means to approach and solve analytical problems strategically and systematically, without the need for the reader to become a fully-fledged chemometrician. The authors' aim was to write a tutorial book which would be useful to readers at every level in this field.
Author(s): D.L. Massart, B.G.M. Vandeginste, S.N. Deming, Y. Michotte and L. Kaufman (Eds.)
Series: Data Handling in Science and Technology 2
Edition: 1st repr. 1990
Publisher: Elsevier, Academic Press
Year: 1988
Language: English
Pages: iii-iv, 1-488
Content:
Edited by
Page iii
Copyright page
Page iv
Introduction
Pages 1-3
Chapter 1 Chemometrics and the Analytical Process
Pages 5-11
Chapter 2 Precision and Accuracy
Pages 13-32
Chapter 3 Evaluation of Precision and Accuracy. Comparison of Two Procedures
Pages 33-57
Chapter 4 Evaluation of Sources of Variation in Data. Analysis of Variance
Pages 59-74
Chapter 5 Calibration
Pages 75-92
Chapter 6 Reliability and Drift
Pages 93-106
Chapter 7 Sensitivity and Limit of Detection
Pages 107-114
Chapter 8 Selectivity and Specificity
Pages 115-126
Chapter 9 Information
Pages 127-136
Chapter 10 Costs
Pages 137-147
Chapter 11 The Time Constant
Pages 149-156
Chapter 12 Signals and Data
Pages 157-163
Chapter 13 Regression Methods
Pages 165-189
Chapter 14 Correlation Methods
Pages 191-213
Chapter 15 Signal Processing
Pages 215-253
Chapter 16 Response Surfaces and Models
Pages 255-270
Chapter 17 Exploration of Response Surfaces
Pages 271-291
Chapter 18 Optimization of Analytical Chemical Methods
Pages 293-304
Chapter 19 Optimization of Chromatographic Methods
Pages 305-317
Chapter 20 The Multivariate Approach
Pages 319-338
Chapter 21 Principal Components and Factor Analysis
Pages 339-370
Chapter 22 Clustering Techniques
Pages 371-384
Chapter 23 Supervised Pattern Recognition
Pages 385-413
Chapter 24 Decisions in the Analytical Laboratory
Pages 415-418
Chapter 25 Operations Research
Pages 419-435
Chapter 26 Decision Making
Pages 437-452
Chapter 27 Process Control
Pages 453-467
Appendix
Pages 469-476
Index
Pages 477-488
