Chemometrics Tutorials: Collected from Chemometrics and Intelligent Laboratory Systems - An International Journal, Volumes 1-5by R.G. Brereton
Pub. Date: 10/28/1990
Publisher: Elsevier Science
The journal Chemometrics and Intelligent Laboratory Systems has a specific policy of publishing tutorial papers, (i.e. articles aiming to discuss and illustrate the application of chemometric and other techniques) solicited from leading experts in the varied disciplines relating to this subject. This book comprises reprints of tutorials from the first 5 volumes of… See more details below
The journal Chemometrics and Intelligent Laboratory Systems has a specific policy of publishing tutorial papers, (i.e. articles aiming to discuss and illustrate the application of chemometric and other techniques) solicited from leading experts in the varied disciplines relating to this subject. This book comprises reprints of tutorials from the first 5 volumes of this journal, covering the period from late 1986 to mid 1989. The authors of the papers include analytical, organic and environmental chemists, statisticians, pharmacologists, geologists, geochemists, computer scientists and biologists, which reflects the strong interdisciplinary communication. The papers have been reorganized into major themes, covering most of the main areas of chemometrics.
This book is intended both as a personal reference text and as a useful background for courses in chemometrics and laboratory computing.
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Table of ContentsComputers in the laboratory. 1. Scientific word processing (R.E. Dessy). 2. The LIMS infrastructure (R.D. McDowall, J.C. Pearce and G.S. Murkitt). 3. Scientific programming with GKS: advantages and disadvantages (E. Flerackers). Expert systems. 4. Dendral and Meta-Dendral - the myth and the reality (N.A.B. Gray). On Gray's interpretation of the Dendral project and programs: myth or mythunderstanding? (B.G. Buchanan, E.A. Feigenbaum and J. Lederberg). Response to comments by Buchanan, Feigenbaum and Lederberg (N.A.B. Gray). 5. Expert systems in synthesis planning: a user's view of the LHASA program (T.V. Lee). 6. PROLOG for chemists. Part 1 (G.J. Kleywegt, H.-J. Luinge and B.-J.P. Schuman). 7. PROLOG for chemists. Part 2 (G.J. Kleywegt, H.-J. Luinge and B.-J.P. Schuman). Experimental design and optimization. 8. Practical exploratory experimental designs (E. Morgan, K.W. Burton and P.A. Church). 9. Optimisation via Simplex. Part 1: Background, definitions and a simple application (K.W.C. Burton and G. Nickless). 10. Chemometrics and method development in high-performance liquid chromatography. Part 1: Introduction (J.C. Berridge). 11. Chemometrics and method development in high-performance liquid chromatography. Part. 2: Sequential experimental designs (J.C. Berridge). Signal processing, time series and continuous processes. 12. Fourier transforms: use, theory and applications to spectroscopic and related data (R.G. Brereton). 13. Dispersion vs. absorption (DISPA): a magic circle for spectroscopic line shape analysis (A.G. Marshall). 14. Sampling theory (G. Kateman). Multivariate and related methods. 15. Principal componentanalysis (S. Wold, K. Esbensen and P. Geladi). 16. Multivariate data analysis: its methods (M. Mellinger). 17. Correspondence analysis: the method and its application (M. Mellinger). 18. Spectral map analysis: factorial analysis of contrasts, especially from log ratios (P.J. Lewi). 19. Similarities and differences among multivariate display techniques illustrated by Belgian cancer mortality distribution data (A. Thielemans, P.J. Lewi and D.L. Massart). 20. Some fundamental criteria for multivariate correlation methodologies (O.H.J. Christie). 21. Mixture analysis of spectral data by multivariate methods (W. Windig). 22. Interpretation of direct latent-variable projection methods and their aims and use in the analysis of multicomponent spectroscopic and chromatographic data (O.M. Kvalheim). 23. Soft modelling and chemosystematics (N.B. Vogt). 24. Multivariate analysis in geology and geochemistry: an introduction (H.J.B. Birks). 25. Multivariate analysis in geoscience: fads, fallacies and the future (R.A. Reyment). 26. Interpretation of lithogeochemistry using correspondence analysis (M. Mellinger). 27. Multivariate analysis of stratigraphic data in geology: a review (H.J.B. Birks). Fuzzy methods. 28. Fuzzy theory explained (M. Otto). Author Index. Subject Index.
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